# Tensorflow CPU
conda env create -f conda-cpu.yml
conda activate yolov4-cpu

# Tensorflow GPU
conda env create -f conda-gpu.yml
conda activate yolov4-gpu

(TensorFlow 2 packages require a pip version >19.0.)

pip install -r requirements.txt

pip install -r requirements-gpu.txt

python save_model.py --model yolov4

python object_tracker.py --video ./data/video/test.mp4 --output ./outputs/demo.avi --model yolov4

python object_tracker.py --video 0 --output ./outputs/webcam.avi --model yolov4

python save_model.py --weights ./data/yolov4-tiny.weights --output ./checkpoints/yolov4-tiny-416 --model yolov4 --tiny

python object_tracker.py --weights ./checkpoints/yolov4-tiny-416 --model yolov4 --video ./data/video/test.mp4 --output ./outputs/tiny.avi --tiny

python image_registration_object_tracking.py --reference_images outputs\tracking_4\reference --video .\outputs\tracking_4\sample_video.mp4 --output .\outputs\tracking_4\output_video.mp4 --thresold 0.38 --output_frames .\outputs\tracking_4\output_frames_1\