Create Your Own Subscribe Channel Graphics

Professional video creators earn billions from YouTube, Tick Tock, and such platforms today. That strongly encourages newcomers to create their video content. But is it that easy? Of course not. To create a successful video and catch people’s attention, subscribe channel graphics are essential.

We have introduced how to create a simple custom subscribe button animation for beginners. We are here to give a more advanced and fully animated graphic that will provide your video with a professional look. Let’s start with knowing what a Subscription channel graphic is.

What Is a Subscribe Channel Graphic?

We here give a simple explanation for those new to a subscribe channel graphic. Have you ever watched videos on a platform like YouTube? If yes, you must have noticed some unique pictures encouraging viewers to subscribe to the channel. That is exactly what a subscribe channel graphic is. It looks like as below.

Every video crater incorporates such graphics on their videos before posting them. However, the hardest part is how to create one. We are now moving forward to see how we can make some outstanding subscribe button graphics using Wondershare Filmora.

Create Advanced Subscription Channel Graphics With Wondershare Filmora

Before we dive into our step-by-step guide, let’s first have an overview of our video editor. Wondershare Filmora is an incredible video editor with robust editing features. These features will transform your video into a stunning one within minutes. It also comes with a powerful screen recorder and a large filmstock of templates.

So using these templates, icons, and other features, here are the steps you need to follow to make an advanced subscribe channel graphic.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

Step1 Download and install Wondershare Filmora

First, you need to download and install the video editor, Filmora. If you’ve already done that, then launch the software right away. But if you haven’t, then download it below. Once the download finishes, install the software on your computer.

When you launch the Filmora, click on “New Project.”

Step2 Make the structure of your graphics

For creating anything, we first need a flawless structure. Here, we can make the structure of Subscribe channel graphics using different colors, icons, texts, and channel photos. We’ll start by adding color layers.

1. Add color layers

• Go to the “Media” on the top left corner of the interface and Click on “Sample Color.” Here find the Green color and add it in the panel below as the first video layer by the drag-n-drop function.

• We will key this layer at the end, so make sure not to use any other green graphics for your animation.
• Let’s lock this layer because we will no longer use it. For this, click on the “Lock” icon on the layer’s left side.
• Add white and red colors and stack them on top of the green color layer.

After adding all three color layers, it’s time to crop these layers to make the structure of our graphic.

Crop the Color Layers

• Go to the “Effects” tab from the top bar and search for the “Crop” effect. Then drag the effect and add it to the white and red layers on the panel.

• First, click on the “Eye” icon beside the red color layer to hide it. Then double-click the white layer to see its properties. When the properties appear, select “Effects” from there.

• You can also enable the safe zones from the display settings on the right side of the panel. After that, crop the white layer first, then show the red layer and crop it too. It will look like this.

That’s it, folks. Our color backgrounds are here. Now we have to add our channel photo to this. So let’s move on to see how to do it.

2. Add a channel photo

• To add the channel photo, you can upload the image. Here we are going to use some images from the stock media. No matter the image, drop it down on the panel above the red color layer.

• Now double-click on the image layer, and from the properties, go to the “Mask” option and select the circle. You can also select any other shape you like.

• After that, scroll down and make the circle even by matching all numbers. Then scale it down and place it on the left corner of the white layer.

It’s done. Let’s add our channel text now.

3. Add texts

• For adding text, go to the “Titles” from the top bar and add the title you like to the panel.

• Now double-click this layer and add the text you want. You can also change the color of the text, scale it down and place it where ever you want.

• Now, let’s add another title for the subscribe button. You have to place it on the red layer.

We can’t finish our structure without icons, can we? So let’s move on to them.

4. Add icons

• Hit the “Element” from the top bar and search for the “Bell” icon. You will find the short animations of the bell. Add the suitable one to the panel.

• Now find a suitable place in the animation, stop it at that point, right-click on the element layer and add a freeze frame.

• You can also extend the freeze frame and remove the other parts. Then reduce its size and place it beside the “Subscribe” text.

• Similarly, add “Thumbs Up” and “Mouse Cursor” icons on the panel.

Finally, our structure is finished. Now let’s start animating.

Step3 Animate the graphics

First, we’ll make it so that all these graphics come in from below the view.

• Go to the white layer first and double-click on it. Then hit the “Animation” option and scroll down. Here add a new keyframe by clicking “Add.” Now move the playhead to the beginning and place the white color layer out of the frame.

• Now, do the same for channel photos and icons. The whole animation will look like this.

• As you can see, the text appears before the color layers. Let’s correct it. Double-click the text layer. Select the” Type Writer’ form and hit the “Advanced option.

• Here, you can adjust the text with the color layers.

• After adjusting both the channel name and subscribe button texts, your animation will appear like this.

If you’ve managed so far, then that’s great. We have done most of the work. Now we need to animate the graphics of the mouse cursor so that it clicks on the bell icon, thumb icon, and our subscribe button. The process is somewhat similar because we will need to add different keyframes. But still, let’s see it in detail.

Step4 Animate the mouse cursor

• Go to the “Mouse Cursor” icon layer and double-click on it. First, place the icon on the “Thumbs Up” so that when it animates in, it goes directly to the said icon. Then you have to add another keyframe after some time. And when you add a third one, place the “Mouse Cursor” icon on the subscribe button text.

• Then add a similar pair of keyframes with some space from the last one and place the “Mouse Cursor” icon on the “Bell” icon.

• The last keyframe we have to add will place this “Mouse Cursor” icon out of our view. After that, you need to adjust these keyframes to set the speed of the moving “Mouse Cursor’ icon according to your taste.

The final product up till now will be like this.

We are nearing our end, guys. Now we just need to make the graphics animate out of our view, and our work will be done. So let’s dive right into it.

Step5 Animate the graphics out

The process of animating out your graphics is like how we animated in our video. We just need to reverse those steps. So here’s how it’s done.

• Go to the white color layer and double-click on it to open its properties.
• Now, from the “Animation” option, add a new keyframe a little before the end of the video.
• After that, you have to add another keyframe at the end of your video. But in this keyframe, place the white color layer out of your view. Like this,

• Repeat the same steps for the red color layer, channel image layer, and icons layer.
• After it’s done, the whole graphics will look like this.

• The only thing that remains is to fix the text layers. For this, double-click on the channel text layer and go to the “Advanced” settings, just like before.

• From here, fix the text speed and end with your other graphic elements. After it’s done, we will do the same for the “Subscribe” button text.

Finally, our graphic is completed. “Export” it from the software to your computer.

Whenever you want to use this graphic on your video, you have to import it first and enable the “Green Screen” option. It will remove the green background color. Then you can upload your video and place this graphic on it to add to the video. And that’s all.

Conclusion

Creating the Subscribe channel graphics is like picking stars from the sky for any video creator, especially if you are a beginner. However, now you don’t need to go for the professionals anymore. Wondershare Filmora has got you covered. So follow this detailed guide and create excellent subscribe channel graphics for your videos.

Free Download For macOS 10.14 or later

Step1 Download and install Wondershare Filmora

First, you need to download and install the video editor, Filmora. If you’ve already done that, then launch the software right away. But if you haven’t, then download it below. Once the download finishes, install the software on your computer.

When you launch the Filmora, click on “New Project.”

Step2 Make the structure of your graphics

For creating anything, we first need a flawless structure. Here, we can make the structure of Subscribe channel graphics using different colors, icons, texts, and channel photos. We’ll start by adding color layers.

1. Add color layers

• Go to the “Media” on the top left corner of the interface and Click on “Sample Color.” Here find the Green color and add it in the panel below as the first video layer by the drag-n-drop function.

• We will key this layer at the end, so make sure not to use any other green graphics for your animation.
• Let’s lock this layer because we will no longer use it. For this, click on the “Lock” icon on the layer’s left side.
• Add white and red colors and stack them on top of the green color layer.

After adding all three color layers, it’s time to crop these layers to make the structure of our graphic.

Crop the Color Layers

• Go to the “Effects” tab from the top bar and search for the “Crop” effect. Then drag the effect and add it to the white and red layers on the panel.

• First, click on the “Eye” icon beside the red color layer to hide it. Then double-click the white layer to see its properties. When the properties appear, select “Effects” from there.

• You can also enable the safe zones from the display settings on the right side of the panel. After that, crop the white layer first, then show the red layer and crop it too. It will look like this.

That’s it, folks. Our color backgrounds are here. Now we have to add our channel photo to this. So let’s move on to see how to do it.

2. Add a channel photo

• To add the channel photo, you can upload the image. Here we are going to use some images from the stock media. No matter the image, drop it down on the panel above the red color layer.

• Now double-click on the image layer, and from the properties, go to the “Mask” option and select the circle. You can also select any other shape you like.

• After that, scroll down and make the circle even by matching all numbers. Then scale it down and place it on the left corner of the white layer.

It’s done. Let’s add our channel text now.

3. Add texts

• For adding text, go to the “Titles” from the top bar and add the title you like to the panel.

• Now double-click this layer and add the text you want. You can also change the color of the text, scale it down and place it where ever you want.

• Now, let’s add another title for the subscribe button. You have to place it on the red layer.

We can’t finish our structure without icons, can we? So let’s move on to them.

4. Add icons

• Hit the “Element” from the top bar and search for the “Bell” icon. You will find the short animations of the bell. Add the suitable one to the panel.

• Now find a suitable place in the animation, stop it at that point, right-click on the element layer and add a freeze frame.

• You can also extend the freeze frame and remove the other parts. Then reduce its size and place it beside the “Subscribe” text.

• Similarly, add “Thumbs Up” and “Mouse Cursor” icons on the panel.

Finally, our structure is finished. Now let’s start animating.

Step3 Animate the graphics

First, we’ll make it so that all these graphics come in from below the view.

• Go to the white layer first and double-click on it. Then hit the “Animation” option and scroll down. Here add a new keyframe by clicking “Add.” Now move the playhead to the beginning and place the white color layer out of the frame.

• Now, do the same for channel photos and icons. The whole animation will look like this.

• As you can see, the text appears before the color layers. Let’s correct it. Double-click the text layer. Select the” Type Writer’ form and hit the “Advanced option.

• Here, you can adjust the text with the color layers.

• After adjusting both the channel name and subscribe button texts, your animation will appear like this.

If you’ve managed so far, then that’s great. We have done most of the work. Now we need to animate the graphics of the mouse cursor so that it clicks on the bell icon, thumb icon, and our subscribe button. The process is somewhat similar because we will need to add different keyframes. But still, let’s see it in detail.

Step4 Animate the mouse cursor

• Go to the “Mouse Cursor” icon layer and double-click on it. First, place the icon on the “Thumbs Up” so that when it animates in, it goes directly to the said icon. Then you have to add another keyframe after some time. And when you add a third one, place the “Mouse Cursor” icon on the subscribe button text.

• Then add a similar pair of keyframes with some space from the last one and place the “Mouse Cursor” icon on the “Bell” icon.

• The last keyframe we have to add will place this “Mouse Cursor” icon out of our view. After that, you need to adjust these keyframes to set the speed of the moving “Mouse Cursor’ icon according to your taste.

The final product up till now will be like this.

We are nearing our end, guys. Now we just need to make the graphics animate out of our view, and our work will be done. So let’s dive right into it.

Step5 Animate the graphics out

The process of animating out your graphics is like how we animated in our video. We just need to reverse those steps. So here’s how it’s done.

• Go to the white color layer and double-click on it to open its properties.
• Now, from the “Animation” option, add a new keyframe a little before the end of the video.
• After that, you have to add another keyframe at the end of your video. But in this keyframe, place the white color layer out of your view. Like this,

• Repeat the same steps for the red color layer, channel image layer, and icons layer.
• After it’s done, the whole graphics will look like this.

• The only thing that remains is to fix the text layers. For this, double-click on the channel text layer and go to the “Advanced” settings, just like before.

• From here, fix the text speed and end with your other graphic elements. After it’s done, we will do the same for the “Subscribe” button text.

Finally, our graphic is completed. “Export” it from the software to your computer.

Whenever you want to use this graphic on your video, you have to import it first and enable the “Green Screen” option. It will remove the green background color. Then you can upload your video and place this graphic on it to add to the video. And that’s all.

Conclusion

Creating the Subscribe channel graphics is like picking stars from the sky for any video creator, especially if you are a beginner. However, now you don’t need to go for the professionals anymore. Wondershare Filmora has got you covered. So follow this detailed guide and create excellent subscribe channel graphics for your videos.

Mastering OpenCV Object Tracking: A Comprehensive Guide for Beginners and Experts

OpenCV Tracking is a popular method used for tracking objects in a video in real-time. OpenCV is a powerful library used for image processing and computer vision applications.

From real-time video analysis to Augmented Reality, OpenCV Tracking has a wide range of uses and can help both private and public sectors to detect and track the desired object in an image or video.

In this comprehensive guide, we’ll explore OpenCV Tracking and its pre-built trackers**.** We will use the OpenCV library and Python to implement this Object Tracking application.

1. SOT & MOT
2. The Difference Between Tracking And Detection

• Types Of Object Tracking

1. Image Tracking
2. Video Tracking

• What Are The Difficulties Of Object Tracking
• Stages Of The Object Tracking Process

1. Stages Of The Object Tracking Process
2. Methods Of Object Tracking

• The powerful backup: OpenCV

1. What Is OpenCV
2. The Pre-Built Algorithms OpenCV Offers For Object Tracking
3. Implementation In Python And OpenCV

Part 1. What Is Object Tracking?

Object Tracking determines the location of an object in a video and can be used for a variety of purposes, including surveillance, security, traffic control, digital forensics, anomaly detection, gesture recognition, visual surveillance, human-computer interaction, augmented reality, and robot vision.

Even though it may seem easy for an average person, object tracking is quite complex for computers because they have to analyze a set of frames and estimate the object’s trajectory based on numbers instead of images.

Because of how complicated it is, Object Tracking is considered one of the most difficult tasks in computer vision. Even though it’s a challenge, it’s not impossible to accomplish.

And there are two levels of Object Tracking that you should learn about:

1. SOT & MOT

1. Single Object Tracking (SOT): SOT is a tracking algorithm that creates advanced appearance models and/or motion models to manage difficult issues like out-of-plane rotations, illumination variations, or scale changes.
2. Multiple Object Tracking (MOT): MOT tracks every part of a video and is mainly concerned with mid-level tasks and serves as a foundation for high-level tasks.

2. The Difference Between Tracking And Detection

After knowing what Object Tracking is, there is another concept you should also be aware of - Object Detection.

The Object Tracking and Object Detection are two important methods in computer vision. Object Tracking tracks the position of a given object in an image in real-time, while Object Detection identifies and localizes objects in an image or video. That is the difference.

Part 2. Types Of Object Tracking

Image Tracking

Image tracking allows users to interact with digital content more naturally and helps users move and interact with digital objects in the same manner as they will with real-world physical objects.

Image tracking can be used in various augmented reality (AR) applications, such as AR gaming, shopping, and navigation. Moreover, you can also use it for educational purposes, such as teaching anatomy or providing instructions for a difficult task.

Video Tracking

Video tracking is the process of tracking objects in a video sequence and can be used for various applications, such as detecting and counting objects in a scene, understanding their motions, and recognizing activities.

Part 3. What Are The Difficulties Of Object Tracking?

As what has been mentioned above, the use of object tracking is versatile. However, there are some challenges associated with Object Tracking, such as:

Background Clutter: The background can impact extracting an object’s features. If the background is more densely populated, detecting or tracking the object of interest can be more difficult.

Occlusion: This is a phenomenon where the object being tracked is affected by the background or foreground. This causes the tracking algorithm to get confused due to multiple objects coming close together, hence, losing track of the object.

Varying spatial scales: Varying spatial scales refer to the target object being of a different size or shape, which can confuse the algorithm, leading to errors.

Training and Tracking Speed: If the object is moving too fast or is too small, it can be difficult to track. Therefore, the tracking module has to be designed to track, identify, and localize objects in a matter of seconds.

Part 4. Stages Of The Object Tracking Process

After the introduction of object tracking technically, let’s learn about its mechanism of it from two sides: periods of the working process and the way it tracks.

1. Stages Of The Object Tracking Process

Following are the stages of the Object Tracking process:

Target Initialization

Target initialization is the first step in Object Tracking and involves defining the targets or objects of interest and drawing a bounding box around them in the initial frame. After that, the tracker has to detect the position of the object in the frame while drawing the bounding box.

Appearance Modeling

Appearance modeling is important for understanding how an object will look under different circumstances. If the object being tracked changes appearance due to different lighting, angle, or speed, the tracking algorithm may lose its information and the object itself. Therefore, it has to be conducted to let the algorithm detect the changes and distortion.

Motion Estimation

Motion estimation entails the capacity of the model to anticipate an object’s future position with precision.

Target Positioning

Motion estimation is a process of approximating the most likely region where an object could be present. After the object’s location is approximated, a visual model can be used to determine the target’s location more accurately.

2. Methods Of Object Tracking

Here’re some methods of Object Tracking:

OpenCV-Based Object Tracking

OpenCV Object Tracking method is widely used because it offers several built-in functions designed specifically for this purpose, such as GOTURN, MIL, MediandFlow, and CSRT. The tracker type you select will depend on your specific application design. Each tracker has its pros and cons, so there is not a single type of tracker ideal for all applications.

MDNet

Multi-Domain Convolutional Neural Network Tracker is a convolutional neural-based visual tracker and has won the VOT2015 challenge. Moreover, it is composed of domain-specific layers, branches, and multiple shared layers.

The MDNetT tracker is a deep neural network that is trained on numerous Object Tracking datasets. The tracker is designed to work in multiple domains, including video, text, and images.

DeepSort

DeepSort algorithm can track objects in real-time and uses YOLO v3 to compute the bounding boxes around the objects in a frame.

DeepSort uses Kalman filter from Simple Online and Realtime Tracking algorithm and an identification model, ReID to interlink bounding boxes and object tracks.

ROLO

ROLO is a novel Object Tracking method that uses recurrent neural networks (RNNs) to learn object-specific Spatio-temporal representations. This method works with YOLO, an object detection algorithm, and an LTSM for determining the trajectory of an object.

Part 5. The powerful backup: OpenCV

We have demonstrated how powerful OpenCV Tracking is and how it works. However, do you wonder what OpenCV is? How it supports the tracking goals being achieved? In this part, we will focus on OpenCV and help you better understand the the underlying mechanisms.

1. What Is OpenCV?

OpenCV is a powerful library that allows you to perform image processing, deep learning, machine learning, and computer vision tasks on live video feeds. Moreover, it can be used to detect objects, track their movements, and recognize faces.

It can help process the data that have videos and images and has been used in various applications, such as object recognition and detection, autonomous cars, robots, medical image analysis, automated surveillance, and anomaly detection.

2. The Pre-Built Algorithms OpenCV Offers For Object Tracking

There are 8 pre-built algorithms that OpenCV offers for Objects Tracking. All of them have their uniquility and here we will present their pros and cons for your better understadning.

Tracker	Pros	Cons
BOOSTING Tracker	Track objects accurately.	Relatively slow. Unable to stop when an object is lost.
MIL Tracker	Strong resistance to noise. Gives accurate results.	Low speed. Unable to stop tracking once the object is lost.
KCF Tracker	High speed and accuracy. Stops tracking when the object is lost.	Inability to continue tracking objects once lost.
TLD Tracker	Resistance to overlapping and object scaling.	Unstable in object detection and tracking. Constantly loses object.
MEDIANFLOW Tracker	High accuracy and speed. Accurate in determining the object’s loss.	Loses object quickly due to high speed.
GOTURN Tracker	Shows resistance to obstructions and noise.	If the speed of an object is high, it shifts to another object.
MOSSE Tracker	Able to continue tracking after the object is lost. High speed.	Loses object easily if very high speed.
CSRT Tracker	Good resistance to overlapping. High accuracy.	Low speed. Unstable when an object is lost.

3. Implementation In Python And OpenCV

Now, after theoretical explanation of OpenCV and OpenCV Tracking, let’s learn Object Tracking OpenCV Python with coding and our simple and step-by-step instructions:

Install The Dependencies

Install the pycharm app on your PC, and launch it. Create a new project and go to Terminal. Install the opencv-contrib-python package by pasting the following command into the Terminal.

Set Up the Trackers

Now, create a Jupyter-notebook and set up the trackers with this code:

Tasks:

• cv2. version returns the OpenCV library version number.
• Save the name of the eight trackers.
• Check the list for the version you are working on and create a tracker object based on the number.

Capture The Video Input

For capturing the video input, write the following lines of code:

Tasks:

• Use the VideoCapture class to capture a video via the webcam or get a saved one from your PC.
• In VideoCapture - line 2, give the path to your video.
• Comment on the second line to use the webcam for tracking and uncomment the third one.

Creating The Bounding Box And Initializing The Tracker

Define an initial random bounding box or select the choices for the object you want to track with the following code:

Start The Tracker And Check The Output

Finally, write the below code lines to start the tracker:

Tasks

• Read each video frame.
• Start the timer and, through the tracker, determine the trajectory of the object.
• Use the trajectory to draw the bounding box.
• The program will start tracking. Afterward, press the space bar to stop tracking.

Video – Object Tracking with Opencv and Python

Conclusion

In this article, we’ve discussed Object Tracking in detail and how it compares with Object Detection. Furthermore, we explored the methods used for tracking objects and provided complete guidance on the OpenCV Tracking method and its built-in functionalities.

Hopefully, you find this guide helpful, and you can now track objects in real-time without any issues.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

• Image Tracking
• Video Tracking
• What Are The Difficulties Of Object Tracking
• Stages Of The Object Tracking Process

1. Stages Of The Object Tracking Process
2. Methods Of Object Tracking

• The powerful backup: OpenCV

1. What Is OpenCV
2. The Pre-Built Algorithms OpenCV Offers For Object Tracking
3. Implementation In Python And OpenCV

Part 1. What Is Object Tracking?

Object Tracking determines the location of an object in a video and can be used for a variety of purposes, including surveillance, security, traffic control, digital forensics, anomaly detection, gesture recognition, visual surveillance, human-computer interaction, augmented reality, and robot vision.

Even though it may seem easy for an average person, object tracking is quite complex for computers because they have to analyze a set of frames and estimate the object’s trajectory based on numbers instead of images.

Because of how complicated it is, Object Tracking is considered one of the most difficult tasks in computer vision. Even though it’s a challenge, it’s not impossible to accomplish.

And there are two levels of Object Tracking that you should learn about:

1. SOT & MOT

1. Single Object Tracking (SOT): SOT is a tracking algorithm that creates advanced appearance models and/or motion models to manage difficult issues like out-of-plane rotations, illumination variations, or scale changes.
2. Multiple Object Tracking (MOT): MOT tracks every part of a video and is mainly concerned with mid-level tasks and serves as a foundation for high-level tasks.

2. The Difference Between Tracking And Detection

After knowing what Object Tracking is, there is another concept you should also be aware of - Object Detection.

The Object Tracking and Object Detection are two important methods in computer vision. Object Tracking tracks the position of a given object in an image in real-time, while Object Detection identifies and localizes objects in an image or video. That is the difference.

Part 2. Types Of Object Tracking

Image Tracking

Image tracking allows users to interact with digital content more naturally and helps users move and interact with digital objects in the same manner as they will with real-world physical objects.

Image tracking can be used in various augmented reality (AR) applications, such as AR gaming, shopping, and navigation. Moreover, you can also use it for educational purposes, such as teaching anatomy or providing instructions for a difficult task.

Video Tracking

Video tracking is the process of tracking objects in a video sequence and can be used for various applications, such as detecting and counting objects in a scene, understanding their motions, and recognizing activities.

Part 3. What Are The Difficulties Of Object Tracking?

As what has been mentioned above, the use of object tracking is versatile. However, there are some challenges associated with Object Tracking, such as:

Background Clutter: The background can impact extracting an object’s features. If the background is more densely populated, detecting or tracking the object of interest can be more difficult.

Occlusion: This is a phenomenon where the object being tracked is affected by the background or foreground. This causes the tracking algorithm to get confused due to multiple objects coming close together, hence, losing track of the object.

Varying spatial scales: Varying spatial scales refer to the target object being of a different size or shape, which can confuse the algorithm, leading to errors.

Training and Tracking Speed: If the object is moving too fast or is too small, it can be difficult to track. Therefore, the tracking module has to be designed to track, identify, and localize objects in a matter of seconds.

Part 4. Stages Of The Object Tracking Process

After the introduction of object tracking technically, let’s learn about its mechanism of it from two sides: periods of the working process and the way it tracks.

1. Stages Of The Object Tracking Process

Following are the stages of the Object Tracking process:

Target Initialization

Target initialization is the first step in Object Tracking and involves defining the targets or objects of interest and drawing a bounding box around them in the initial frame. After that, the tracker has to detect the position of the object in the frame while drawing the bounding box.

Appearance Modeling

Appearance modeling is important for understanding how an object will look under different circumstances. If the object being tracked changes appearance due to different lighting, angle, or speed, the tracking algorithm may lose its information and the object itself. Therefore, it has to be conducted to let the algorithm detect the changes and distortion.

Motion Estimation

Motion estimation entails the capacity of the model to anticipate an object’s future position with precision.

Target Positioning

Motion estimation is a process of approximating the most likely region where an object could be present. After the object’s location is approximated, a visual model can be used to determine the target’s location more accurately.

2. Methods Of Object Tracking

Here’re some methods of Object Tracking:

OpenCV-Based Object Tracking

OpenCV Object Tracking method is widely used because it offers several built-in functions designed specifically for this purpose, such as GOTURN, MIL, MediandFlow, and CSRT. The tracker type you select will depend on your specific application design. Each tracker has its pros and cons, so there is not a single type of tracker ideal for all applications.

MDNet

Multi-Domain Convolutional Neural Network Tracker is a convolutional neural-based visual tracker and has won the VOT2015 challenge. Moreover, it is composed of domain-specific layers, branches, and multiple shared layers.

The MDNetT tracker is a deep neural network that is trained on numerous Object Tracking datasets. The tracker is designed to work in multiple domains, including video, text, and images.

DeepSort

DeepSort algorithm can track objects in real-time and uses YOLO v3 to compute the bounding boxes around the objects in a frame.

DeepSort uses Kalman filter from Simple Online and Realtime Tracking algorithm and an identification model, ReID to interlink bounding boxes and object tracks.

ROLO

ROLO is a novel Object Tracking method that uses recurrent neural networks (RNNs) to learn object-specific Spatio-temporal representations. This method works with YOLO, an object detection algorithm, and an LTSM for determining the trajectory of an object.

Part 5. The powerful backup: OpenCV

We have demonstrated how powerful OpenCV Tracking is and how it works. However, do you wonder what OpenCV is? How it supports the tracking goals being achieved? In this part, we will focus on OpenCV and help you better understand the the underlying mechanisms.

1. What Is OpenCV?

OpenCV is a powerful library that allows you to perform image processing, deep learning, machine learning, and computer vision tasks on live video feeds. Moreover, it can be used to detect objects, track their movements, and recognize faces.

It can help process the data that have videos and images and has been used in various applications, such as object recognition and detection, autonomous cars, robots, medical image analysis, automated surveillance, and anomaly detection.

2. The Pre-Built Algorithms OpenCV Offers For Object Tracking

There are 8 pre-built algorithms that OpenCV offers for Objects Tracking. All of them have their uniquility and here we will present their pros and cons for your better understadning.

Tracker	Pros	Cons
BOOSTING Tracker	Track objects accurately.	Relatively slow. Unable to stop when an object is lost.
MIL Tracker	Strong resistance to noise. Gives accurate results.	Low speed. Unable to stop tracking once the object is lost.
KCF Tracker	High speed and accuracy. Stops tracking when the object is lost.	Inability to continue tracking objects once lost.
TLD Tracker	Resistance to overlapping and object scaling.	Unstable in object detection and tracking. Constantly loses object.
MEDIANFLOW Tracker	High accuracy and speed. Accurate in determining the object’s loss.	Loses object quickly due to high speed.
GOTURN Tracker	Shows resistance to obstructions and noise.	If the speed of an object is high, it shifts to another object.
MOSSE Tracker	Able to continue tracking after the object is lost. High speed.	Loses object easily if very high speed.
CSRT Tracker	Good resistance to overlapping. High accuracy.	Low speed. Unstable when an object is lost.

3. Implementation In Python And OpenCV

Now, after theoretical explanation of OpenCV and OpenCV Tracking, let’s learn Object Tracking OpenCV Python with coding and our simple and step-by-step instructions:

Install The Dependencies

Install the pycharm app on your PC, and launch it. Create a new project and go to Terminal. Install the opencv-contrib-python package by pasting the following command into the Terminal.

Set Up the Trackers

Now, create a Jupyter-notebook and set up the trackers with this code:

Tasks:

• cv2. version returns the OpenCV library version number.
• Save the name of the eight trackers.
• Check the list for the version you are working on and create a tracker object based on the number.

Capture The Video Input

For capturing the video input, write the following lines of code:

Tasks:

• Use the VideoCapture class to capture a video via the webcam or get a saved one from your PC.
• In VideoCapture - line 2, give the path to your video.
• Comment on the second line to use the webcam for tracking and uncomment the third one.

Creating The Bounding Box And Initializing The Tracker

Define an initial random bounding box or select the choices for the object you want to track with the following code:

Start The Tracker And Check The Output

Finally, write the below code lines to start the tracker:

Tasks

• Read each video frame.
• Start the timer and, through the tracker, determine the trajectory of the object.
• Use the trajectory to draw the bounding box.
• The program will start tracking. Afterward, press the space bar to stop tracking.

Video – Object Tracking with Opencv and Python

Conclusion

In this article, we’ve discussed Object Tracking in detail and how it compares with Object Detection. Furthermore, we explored the methods used for tracking objects and provided complete guidance on the OpenCV Tracking method and its built-in functionalities.

Hopefully, you find this guide helpful, and you can now track objects in real-time without any issues.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

A Guide To Motion Tracking Using The Best Video Editors

One of the powerful editing features offered by several premium-grade video editors is motion tracking. It not only boosts the overall video quality but also helps ensuring the object is engaged throughout the video. Many users fail to apply the motion tracking effect to the videos because they don’t use a reliable tool. The primary motive of this discussion is to provide you with the best-in-class motion tracker.

Not only will we tell you the name of the software, but we will also guide you through the procedure of doing this. Moreover, many of you don’t know what motion tracking is. So, this article will also provide significant information about this.

Part 1: What Is Motion Tracking in Video Editing?

Motion tracking helps you analyze the movements of different objects in your video content. This process involves various tasks that can be very helpful in video editing. For example, tracking and identifying the position of elements over time. The main purpose of motion tracking is to add graphics. Moreover, you can also add digital effects to the tracked objects.

You will need special software or video editing tools to perform this process. Here’s how you can understand the motion tracking process with ease:

Selection of Object

The editor can select the object that he wants to track in an effective manner. This object can be a person or any moving element that needs tracking. Moreover, it can also be a moving vehicle or a logo as well. Tracking these moving elements in the frame can allow the editor to improve the areas which have high contrast or distinct features.

Tracking Points

Selecting the object allows the software to identify specific points in the frame. These points can have distinct features or a high contrast that may affect the video quality. With the help of video motion tracking, the editor can note down these areas and improve them to enhance the viewer experience.

Data Mapping

Once the software tracks the movements, it can be very useful for the editor. This is because it calculates the changes in position and rotation of each point. Moreover, it also maps the tracked data into a visual representation for the coordinating system. Using this system, the movements of the objects can be recreated in a 3D space.

Using Effects and Refinement

After obtaining the motion tracking data, the video editor can apply different effects on the object. These effects can include adding graphics and text to the scene. Moreover, it can also help in animation or compositing visual elements. To ensure the accurate alignment of the effects, the editor may need to use extra tracking techniques or manual adjustments.

Start Motion Tracking For Win 7 or later(64-bit)

Start Motion Tracking For macOS 10.14 or later

Try It Free >>

Part 2: How to Perform Motion Tracking in Adobe After Effects?

As you have gained knowledge about motion tracking, there are many platforms that offer this feature. Adobe After Effects is a video editing platform that can help you perform video motion tracking. If you are a user of this tool, you can learn the steps to motion track your video below:

Step 1: Open Adobe After Effects on your computer and import your video files to the timeline of the platform. Add the object you wish to motion track on Adobe After Effects.

Step 2: Lead to the “Layer” tab from the top and select the “New” option from the drop-down menu. Continue to select “Null Object” to add a layer to the timeline.

Step 3: Select the video clip and continue to the “Animation” tab from the top. Select “Track Motion” from the drop-down menu that appears. This will generate a box for selecting the object for motion tracking. You can extend the box and drag it anywhere in the video clip. To check the motion tracking object, click the “Analyze Forward” button on the bottom-right corner of the screen.

Step 4: As the object is analyzed, click the “Edit Target” button to open a new screen. Continue to change the layer to “Null Object” and click “OK.” Continue to select “Apply” and click “OK” against the pop-up menu that opens. This is how Adobe After Effects applies the motion tracker.

Part 3: Wondershare Filmora: A Comprehensive Solution to Video Editing

Do you know that there is a video editing platform that makes all video motion tracking process easy? Wondershare Filmora presents a coherent video editing system for its users with high-quality outputs. The platform integrates some of the greatest features and makes it useful for all users. Even if you are a rookie in video editing, this video editing platform can help you make the best of videos.

Start Motion Tracking For Win 7 or later(64-bit)

Start Motion Tracking For macOS 10.14 or later

Try It Free >>

Motion Tracking is possible with Wondershare Filmora, which is entirely automated. All you have to do is click a button, and the process will execute. Wondershare Filmora helps users apply different effects and track them within the videos. Instead of objects, you can increase your video motion tracking into effects and other elements.

Features of Wondershare Filmora Video Editor

To know more about this video editing platform, look into the prominent features offered by Filmora. There is much that this software provides apart from motion tracking videos. This will help you generate a better understanding of this best motion-tracking software.

Auto Beat Sync

You can synchronize your audio and videos across this automated video editor. Filmora provides an auto beat sync function that helps users create videos that can be synchronized. Smoothen your videos and make them look professional with a single click. This does not leave behind any noise or echo within the videos .

Text-to-Speech Function

Wondershare Filmora features a dedicated AI text-to-speech functionality. This helps in the automatic conversion of text into speech across the video editor. Users have to add text which will be converted to speech. In this way, creating voiceovers is not only easy but also quick.

Speed Ramping

While you can motion-track your videos, the platform also provides a speed ramping system. Adjusting the speed uniformly or through ramping is effective with Filmora, as it makes it simple to cover. You can adjust the speeds using sliders and graphs.

Part 4: Guide: Perform Paper Motion Tracking With High Quality Using Wondershare Filmora

Filmora is a popular video editing platform among video editors for motion track videos. It offers exquisite features along with a smooth and sleek interface. You can also ensure the best quality integration of motion tracking in videos with Filmora. Do you wish to learn the steps to perform motion tracking with this best motion tracking software? Worry no more because the below-given steps will help you in this matter:

Start Motion Tracking For Win 7 or later(64-bit)

Start Motion Tracking For macOS 10.14 or later

Try It Free >>

Step 1: Import Video in Filmora

To get started, launch Filmora on your device, select “New Project,” and choose the “Click here to import media” option. To proceed, add the video you want to apply motion tracking. Once the video is visible in the “Import Media” section, drag it to “Timeline.”

Step 2: Add Motion Tracking in the Video

Select the video in “Timeline” and click the “Motion Tracking” button from the “Toolbar” present above the “Timeline.” Conversely, double-click the video and choose the “Video” tab from the editing settings.

Step 3: Customize Motion Tracking and Initiate It

To enable the box customization, double-click the “Motion Tracking Box.” Drag the “Motion Tracking Box” on the moving object and cover the whole object in the box. You can also adjust the duration of motion tracking by trimming the video in the timeline. Once done, click the “Click to start Motion Track” button and wait a few moments.

Step 4: Add Elements or Effects to the Video

Next, select “OK” from the prompt window and go to the “Element” section. Choose an “Element” and drag it into “Timeline” above your video section. To adjust the element, you must double-click on it. There is no restriction on using an element, as you can add “Effects” or other things.

You need to revert to the “Motion Tracking” section and select the drop-down appearing against the option. Choose the name of your “Effect” or “Element” that you’ve applied to before. The particular motion track will be enhanced through an effect or element.

Step 5: Export Motion Tracked Video in Device

For exporting video, click the “Export” button and personalize the “Export Settings.” Finally, tap “Export” and save the video on your device.

Conclusion

This article has pointed out the prominence of motion tracking in video editing. An idea for performing video motion tracking in Adobe After Effects has been provided. The article has offered Wondershare Filmora as the ideal solution to this requirement.

You can embed the motion tracking function and perform all the processes within a few seconds. If you have an object that you want to focus on in a video, trying motion tracking is the best option for this.

Start Motion Tracking For Win 7 or later(64-bit)

Start Motion Tracking For macOS 10.14 or later

Try It Free >>

Part 2: How to Perform Motion Tracking in Adobe After Effects?

As you have gained knowledge about motion tracking, there are many platforms that offer this feature. Adobe After Effects is a video editing platform that can help you perform video motion tracking. If you are a user of this tool, you can learn the steps to motion track your video below:

Step 1: Open Adobe After Effects on your computer and import your video files to the timeline of the platform. Add the object you wish to motion track on Adobe After Effects.

Step 2: Lead to the “Layer” tab from the top and select the “New” option from the drop-down menu. Continue to select “Null Object” to add a layer to the timeline.

Step 3: Select the video clip and continue to the “Animation” tab from the top. Select “Track Motion” from the drop-down menu that appears. This will generate a box for selecting the object for motion tracking. You can extend the box and drag it anywhere in the video clip. To check the motion tracking object, click the “Analyze Forward” button on the bottom-right corner of the screen.

Step 4: As the object is analyzed, click the “Edit Target” button to open a new screen. Continue to change the layer to “Null Object” and click “OK.” Continue to select “Apply” and click “OK” against the pop-up menu that opens. This is how Adobe After Effects applies the motion tracker.

Part 3: Wondershare Filmora: A Comprehensive Solution to Video Editing

Do you know that there is a video editing platform that makes all video motion tracking process easy? Wondershare Filmora presents a coherent video editing system for its users with high-quality outputs. The platform integrates some of the greatest features and makes it useful for all users. Even if you are a rookie in video editing, this video editing platform can help you make the best of videos.

Start Motion Tracking For Win 7 or later(64-bit)

Start Motion Tracking For macOS 10.14 or later

Try It Free >>

Motion Tracking is possible with Wondershare Filmora, which is entirely automated. All you have to do is click a button, and the process will execute. Wondershare Filmora helps users apply different effects and track them within the videos. Instead of objects, you can increase your video motion tracking into effects and other elements.

Features of Wondershare Filmora Video Editor

To know more about this video editing platform, look into the prominent features offered by Filmora. There is much that this software provides apart from motion tracking videos. This will help you generate a better understanding of this best motion-tracking software.

Auto Beat Sync

You can synchronize your audio and videos across this automated video editor. Filmora provides an auto beat sync function that helps users create videos that can be synchronized. Smoothen your videos and make them look professional with a single click. This does not leave behind any noise or echo within the videos .

Text-to-Speech Function

Wondershare Filmora features a dedicated AI text-to-speech functionality. This helps in the automatic conversion of text into speech across the video editor. Users have to add text which will be converted to speech. In this way, creating voiceovers is not only easy but also quick.

Speed Ramping

While you can motion-track your videos, the platform also provides a speed ramping system. Adjusting the speed uniformly or through ramping is effective with Filmora, as it makes it simple to cover. You can adjust the speeds using sliders and graphs.

Part 4: Guide: Perform Paper Motion Tracking With High Quality Using Wondershare Filmora

Filmora is a popular video editing platform among video editors for motion track videos. It offers exquisite features along with a smooth and sleek interface. You can also ensure the best quality integration of motion tracking in videos with Filmora. Do you wish to learn the steps to perform motion tracking with this best motion tracking software? Worry no more because the below-given steps will help you in this matter:

Start Motion Tracking For Win 7 or later(64-bit)

Start Motion Tracking For macOS 10.14 or later

Try It Free >>

Step 1: Import Video in Filmora

To get started, launch Filmora on your device, select “New Project,” and choose the “Click here to import media” option. To proceed, add the video you want to apply motion tracking. Once the video is visible in the “Import Media” section, drag it to “Timeline.”

Step 2: Add Motion Tracking in the Video

Select the video in “Timeline” and click the “Motion Tracking” button from the “Toolbar” present above the “Timeline.” Conversely, double-click the video and choose the “Video” tab from the editing settings.

Step 3: Customize Motion Tracking and Initiate It

To enable the box customization, double-click the “Motion Tracking Box.” Drag the “Motion Tracking Box” on the moving object and cover the whole object in the box. You can also adjust the duration of motion tracking by trimming the video in the timeline. Once done, click the “Click to start Motion Track” button and wait a few moments.

Step 4: Add Elements or Effects to the Video

Next, select “OK” from the prompt window and go to the “Element” section. Choose an “Element” and drag it into “Timeline” above your video section. To adjust the element, you must double-click on it. There is no restriction on using an element, as you can add “Effects” or other things.

You need to revert to the “Motion Tracking” section and select the drop-down appearing against the option. Choose the name of your “Effect” or “Element” that you’ve applied to before. The particular motion track will be enhanced through an effect or element.

Step 5: Export Motion Tracked Video in Device

For exporting video, click the “Export” button and personalize the “Export Settings.” Finally, tap “Export” and save the video on your device.

Conclusion

This article has pointed out the prominence of motion tracking in video editing. An idea for performing video motion tracking in Adobe After Effects has been provided. The article has offered Wondershare Filmora as the ideal solution to this requirement.

You can embed the motion tracking function and perform all the processes within a few seconds. If you have an object that you want to focus on in a video, trying motion tracking is the best option for this.

This Review Post Introduces You to EasyHDR to Review and Customize Your HDR Photos. You’ll Also Learn the Best Desktop Application to Edit Your HDR Videos Effortlessly

Any professional photographer knows that “photography” is a broad niche. For example, HDR photography involves taking images in dark and bright areas. But because these images might not show much to the naked eyes, you’ll need an HDR program like EasyHDR. This software can recreate and design incredible HDR photos on Mac and Windows computers. So, this review post advises you whether Easy HDR is worth the money or not. We’ll also advise on the best way to edit and create HDR videos on PC.

Part 1: Summary Box on Easy HDR

Description	EasyHDR is an HDR photography software for highlighting image details in HDR photos. It supports raw images and batch processing.
Pricing	$33 for a lifetime license
Operating System	Windows 7/8/10/11 and macOS 10.12 or newer
Layout	4.5/5
Easy to use	4.8/5
HDQ quality	4.2/5
Post-processing	3.5/5

Before we dive deeper into this Easy HDRi review, let’s first discuss how this HDR software rates in some critical aspects:

1. Effectiveness - 4.8/5

The HDRi process on this software is very effective, although you shouldn’t have high expectations. It provides manual and automatic lens correction properties, although using the manual option might need a learning curve. Other extras include ghost removal and automatic alignment.

2. Price - 4.7/5

Easy HDR is not necessarily a free program. Although there’s a free demo version, it’s pretty limited in features. Therefore, purchase the premium plan for $33 or $55 for personal and lifetime licenses. As a seasoned HDR editor, you should know that other HDR programs like Aurora HDR cost way more than this.

3. Supported OS - 5/5

This HDR photography program is compatible with Windows and macOS systems, which is a big plus. You can install it on Windows 7 or newer and macOS 10.12 or newer. Sorry, Linux users!

4. Ease of use - 4.8

Easy HDR is one of the most beginner-friendly HDR processing tools despite the advanced management tools. It features automatic lens correction, ghost removal, and HDR merging capabilities.

5. Best for - Beginner HDRi editors

This program’s simple approach makes it perfect for HDRi photographers without prior editing skills. Also, if you’re a beginner on a tight budget, easyHDR is the best software for you.

Our Verdict

Up to this juncture, you might wonder if Easy HDR is worth the money or not. Well, that depends on what you want. If you have minimal HDR editing knowledge, then this is the best professional program for you.

The straightforward layout boasts automatic HDR editing tools to make your work effortless. In addition, it supports a wide array of image formats, including photos taken using your DSLR camera. And the $33/lifetime price should be manageable by many average Joes.

But on the flip side, Easy HDR lacks in-depth post-processing tools. Also, it lacks the all-important “undo” feature, which is vital in HDR image editing. Other than that, it’s the perfect program to make dramatic and realistic HDR photos.

Pros

• Simple layout.
• Make realistic HDR images with automatic tools.
• Easy HDRi Blender and Adobe Lightroom plugins.
• Standalone Easy HDR desktop program.
• Batch processing supported.
• Compatible with multiple image formats, including RAW.

Cons

• It doesn’t have advanced HDR post-processing tools.
• No HDR feature for editing.

Part 2. Detailed Review for Easy HDR

Before diving deeper into the detailed Easy HDR features, it’s important to note that the program has a demo version. You can use this version to practice and study the vital components of easyHDR. But be guided that the demo version exports images with a watermark. In addition, users can’t save HDRi in TIFF format. Let’s get in!

1. High-Quality Bracket Merging

A good quality HDRi software should easily merge different image exposures, making the photo look natural and spectacular. To start incorporating, drag the image brackets to easyHDR and press “Ok” on the pop-up screen. You can now try the different bracket merging effects until you find something that suits your preference.

2. Editing features

EasyHDR goes a step further to provide its users with a comprehensive list of editing features. For example, the “Clone Stamp” tool can remove unwanted objects like cables without blurring the photo. You can also use the “Tone Curve” feature to adjust the brightness of shadows and highlights.

3. Ghost removal

No, this is not the scary ghost that you know. Instead, these ghosting artefacts appear in misaligned photos due to moving objects like leaves, branches, cars, people, etc. With Easy HDR, you can eliminate the “ghosts” manually or automatically. Simply open the photo and turn on “Ghost Removal” to remove them automatically.

4. HDR batch processing

As expected, you can find it pretty tedious to import and merge each HDR bracket individually. For this reason, easyHDR comes with a “Batch Processing” feature that allows users to combine a whole folder of brackets automatically.

5. LDR enhancement

Although we’ve mainly focused on brackets and photos in this post, it’s important to note that easyHDR also works with single images. Instead of having three separate bracketed exposures, LDR (Low Dynamic Range) enhancement allows you to generate exposures from a single JPEG or RAW photo.

Bonus Tips: The Best Way to Edit HDR videos on your Desktop

Like HDR images, HDR videos offer more comprehensive displays in dark and bright surroundings. In short, these videos allow more colourful and detailed highlight representations. Unfortunately, not all HDR editing programs can merge bracketed exposures effortlessly to produce outstanding results. And those that do can cost you an arm and a leg.

With that in mind, we recommend Wondershare Filmora 11 for professional and semi-professional HDR editors. It’s a simple but detailed program that allows users to edit HDR materials quickly and easily. It houses thousands of free effects you’ll use with the Blending Mode to create nice HDR footage. Filmora 11 works with any video format, including RAW footage from your camcorder. And of course, there are many other editing features like color correction, color grading, image stabilization, chroma key/green screen, etc.

Steps to add an HDR effect to a standard video on Filmora 11:

Step1Open the video on Filmora 11

Run Wondershare Filmora 11 on your Mac/Win computer and start a new project. After creating a project, click Import Media to upload the video to edit and move it to the storyboard.

Step2Add a blending mode effect

Next, select the video and choose White as the color overlay. To do that, open the Sample color options and move the While color on the top timeline.

After that, it’s time to change the Blending Mode of the color overlay. To do that, right-click the color track and choose Edit Properties. Then tap Composition and then select Exclusion on the Blending Mode drop-down menu.

Step3Apply the B&W Film color effect

Now tap the Effect tab and search for the B&W Film effect. This film effect should be free to use whether using a paid or free account. After downloading it, add the effect overlay to the video track and export the video.

Step4Import the uploaded video

After creating the video, import it on Filmora 11 and delete the white color overlay and W&B Film effects. Now add the imported video on the first track, then search and apply a Square Blur effect. Also, change the Blending Mode of the footage to Overlay. Meanwhile, click the Effect tab and adjust the Size slider accordingly. For example, you can choose 10.

Don’t stop there. Open the Effects tab and add the Lomo effect to your video. Also, search and add the Luma Sharp effect. Remember that you can retouch these effects accordingly under the Effect tab. And lastly, export the new HDR video. That’s it!

Final Words

There you have it. Easy HDR is arguably the most-beginner friendly program to edit your photos on desktops. Although it doesn’t feature much, the available editing features should be enough to help you create incredible HDR images. And don’t forget to use Wondershare Filmora 11 to apply a cool HDR effect to your footage. Give it a try!

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

Before we dive deeper into this Easy HDRi review, let’s first discuss how this HDR software rates in some critical aspects:

1. Effectiveness - 4.8/5

The HDRi process on this software is very effective, although you shouldn’t have high expectations. It provides manual and automatic lens correction properties, although using the manual option might need a learning curve. Other extras include ghost removal and automatic alignment.

2. Price - 4.7/5

Easy HDR is not necessarily a free program. Although there’s a free demo version, it’s pretty limited in features. Therefore, purchase the premium plan for $33 or $55 for personal and lifetime licenses. As a seasoned HDR editor, you should know that other HDR programs like Aurora HDR cost way more than this.

3. Supported OS - 5/5

This HDR photography program is compatible with Windows and macOS systems, which is a big plus. You can install it on Windows 7 or newer and macOS 10.12 or newer. Sorry, Linux users!

4. Ease of use - 4.8

Easy HDR is one of the most beginner-friendly HDR processing tools despite the advanced management tools. It features automatic lens correction, ghost removal, and HDR merging capabilities.

5. Best for - Beginner HDRi editors

This program’s simple approach makes it perfect for HDRi photographers without prior editing skills. Also, if you’re a beginner on a tight budget, easyHDR is the best software for you.

Our Verdict

Up to this juncture, you might wonder if Easy HDR is worth the money or not. Well, that depends on what you want. If you have minimal HDR editing knowledge, then this is the best professional program for you.

The straightforward layout boasts automatic HDR editing tools to make your work effortless. In addition, it supports a wide array of image formats, including photos taken using your DSLR camera. And the $33/lifetime price should be manageable by many average Joes.

But on the flip side, Easy HDR lacks in-depth post-processing tools. Also, it lacks the all-important “undo” feature, which is vital in HDR image editing. Other than that, it’s the perfect program to make dramatic and realistic HDR photos.

Pros

• Simple layout.
• Make realistic HDR images with automatic tools.
• Easy HDRi Blender and Adobe Lightroom plugins.
• Standalone Easy HDR desktop program.
• Batch processing supported.
• Compatible with multiple image formats, including RAW.

Cons

• It doesn’t have advanced HDR post-processing tools.
• No HDR feature for editing.

Part 2. Detailed Review for Easy HDR

Before diving deeper into the detailed Easy HDR features, it’s important to note that the program has a demo version. You can use this version to practice and study the vital components of easyHDR. But be guided that the demo version exports images with a watermark. In addition, users can’t save HDRi in TIFF format. Let’s get in!

1. High-Quality Bracket Merging

A good quality HDRi software should easily merge different image exposures, making the photo look natural and spectacular. To start incorporating, drag the image brackets to easyHDR and press “Ok” on the pop-up screen. You can now try the different bracket merging effects until you find something that suits your preference.

2. Editing features

EasyHDR goes a step further to provide its users with a comprehensive list of editing features. For example, the “Clone Stamp” tool can remove unwanted objects like cables without blurring the photo. You can also use the “Tone Curve” feature to adjust the brightness of shadows and highlights.

3. Ghost removal

No, this is not the scary ghost that you know. Instead, these ghosting artefacts appear in misaligned photos due to moving objects like leaves, branches, cars, people, etc. With Easy HDR, you can eliminate the “ghosts” manually or automatically. Simply open the photo and turn on “Ghost Removal” to remove them automatically.

4. HDR batch processing

As expected, you can find it pretty tedious to import and merge each HDR bracket individually. For this reason, easyHDR comes with a “Batch Processing” feature that allows users to combine a whole folder of brackets automatically.

5. LDR enhancement

Although we’ve mainly focused on brackets and photos in this post, it’s important to note that easyHDR also works with single images. Instead of having three separate bracketed exposures, LDR (Low Dynamic Range) enhancement allows you to generate exposures from a single JPEG or RAW photo.

Bonus Tips: The Best Way to Edit HDR videos on your Desktop

Like HDR images, HDR videos offer more comprehensive displays in dark and bright surroundings. In short, these videos allow more colourful and detailed highlight representations. Unfortunately, not all HDR editing programs can merge bracketed exposures effortlessly to produce outstanding results. And those that do can cost you an arm and a leg.

With that in mind, we recommend Wondershare Filmora 11 for professional and semi-professional HDR editors. It’s a simple but detailed program that allows users to edit HDR materials quickly and easily. It houses thousands of free effects you’ll use with the Blending Mode to create nice HDR footage. Filmora 11 works with any video format, including RAW footage from your camcorder. And of course, there are many other editing features like color correction, color grading, image stabilization, chroma key/green screen, etc.

Steps to add an HDR effect to a standard video on Filmora 11:

Step1Open the video on Filmora 11

Run Wondershare Filmora 11 on your Mac/Win computer and start a new project. After creating a project, click Import Media to upload the video to edit and move it to the storyboard.

Step2Add a blending mode effect

Next, select the video and choose White as the color overlay. To do that, open the Sample color options and move the While color on the top timeline.

After that, it’s time to change the Blending Mode of the color overlay. To do that, right-click the color track and choose Edit Properties. Then tap Composition and then select Exclusion on the Blending Mode drop-down menu.

Step3Apply the B&W Film color effect

Now tap the Effect tab and search for the B&W Film effect. This film effect should be free to use whether using a paid or free account. After downloading it, add the effect overlay to the video track and export the video.

Step4Import the uploaded video

After creating the video, import it on Filmora 11 and delete the white color overlay and W&B Film effects. Now add the imported video on the first track, then search and apply a Square Blur effect. Also, change the Blending Mode of the footage to Overlay. Meanwhile, click the Effect tab and adjust the Size slider accordingly. For example, you can choose 10.

Don’t stop there. Open the Effects tab and add the Lomo effect to your video. Also, search and add the Luma Sharp effect. Remember that you can retouch these effects accordingly under the Effect tab. And lastly, export the new HDR video. That’s it!

Final Words

There you have it. Easy HDR is arguably the most-beginner friendly program to edit your photos on desktops. Although it doesn’t feature much, the available editing features should be enough to help you create incredible HDR images. And don’t forget to use Wondershare Filmora 11 to apply a cool HDR effect to your footage. Give it a try!

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

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