yolov7-object-cropping

Steps to run Code

• Clone the repository.

git clone https://github.com/RizwanMunawar/yolov7-object-cropping.git

• Goto the cloned folder.

cd yolov7-object-cropping

• Create a virtual envirnoment (Recommended, If you dont want to disturb python packages)

### For Linux Users
python3 -m venv yolov7objcropping
source yolov7objcropping/bin/activate

### For Window Users
python3 -m venv yolov7objcropping
cd yolov7objcropping
cd Scripts
activate
cd ..
cd ..

• Upgrade pip with mentioned command below.

pip install --upgrade pip

• Install requirements with mentioned command below.

pip install -r requirements.txt

• Download yolov7 object detection weights from link and move them to the working directory {yolov7-object-cropping}
• Run the code with mentioned command below.

#if you want to change source file
python detect_and_crop.py --weights yolov7.pt --source "your video.mp4"

#for specific class (person)
python detect_and_crop.py --weights yolov7.pt --source "your video.mp4" -classes 0

• Cropped Objects will be stored in "working-dir/crop" folder.

Results

Objects Cropped 1	Objects Cropped 2	Objects Cropped 3	Objects Cropped 4	Objects Cropped 5	Objects Cropped 6	Objects Cropped 7

References

• https://github.com/WongKinYiu/yolov7
• https://opencv.org/

My Medium Articles

• https://medium.com/augmented-startups/yolov7-training-on-custom-data-b86d23e6623
• https://medium.com/augmented-startups/roadmap-for-computer-vision-engineer-45167b94518c
• https://medium.com/augmented-startups/yolor-or-yolov5-which-one-is-better-2f844d35e1a1
• https://medium.com/augmented-startups/train-yolor-on-custom-data-f129391bd3d6
• https://medium.com/augmented-startups/develop-an-analytics-dashboard-using-streamlit-e6282fa5e0f

For more details, you can reach out to me on Medium or can connect with me on LinkedIn