Steps Taken to Solve Issues and Run the Yolov4 repositary :

[SurajSanap]

1. Environment Setup
Action: Created a virtual environment and installed dependencies using:
pip install -r requirements.txt

Error: numpy==1.18.2 failed to install due to build issues (ModuleNotFoundError: No module named 'distutils.msvccompiler').
Solution: Removed version restrictions in requirements.txt to allow the latest compatible versions of dependencies to install.

2. Weights Missing
Error: FileNotFoundError: No such file or directory: 'weights/yolov4.weights'.
Solution:
Downloaded yolov4.weights from the official source.
Saved the file in the weights/ directory.

3. CUDA-Related Issue
Error: AssertionError: Torch not compiled with CUDA enabled.
Solution:
Updated the script to run on the CPU by replacing all .cuda() calls with .cpu().

4. OpenCV Coordinate Type Issue
Error: cv2.error: Can't parse 'pt2'. Sequence item with index 0 has a wrong type.
Cause: cv2.rectangle and cv2.putText require integer coordinates, but the script used np.float32.
Solution:
Updated the plot_boxes_cv2 function in the script:
Replaced all occurrences of np.float32 with int for rectangle and text coordinates.

5. Running the Script
Command Used:
python demo.py -cfgfile cfg/yolov4.cfg -weightfile weights/yolov4.weights -imgfile dataset/image_1.jpg

6. Viewing the Output
   Output File: The annotated image with predictions was saved as created the new directory which name is prediction_outputs and storing the following format : {image_1}_predictions.json in the project directory.