How do I use the exported 'best.pt" file from yolov5 colab file to run the trained weights locally?
I have trained my model using yoloV5 on google colab, following the provided tutorial and walkthrough provided for training any custom model: Colab file for training your own custom model. I now have an exported best.pt file after running the last cell in the link provided. Now, I want to make use of this trained weight to run a detection locally on any python script. Is this possible? If so, how do I go about doing this?

You should follow this step:

Create an empty folder in desktop called ObjectDetection
Open command prompt and change directory to that new folder using
cd ObjectDetection.
Clone yolov5 repo using command - git clone https://github.com/ultralytics/yolov5.git. It will create a new folder called yolov5 inside ObjectDetection folder.
yolov5 folder contains important python file called detect.py which is responsible to detect the objects.
After cloning the repo, enter into yolov5 folder using cd yolov5
Install all the necessary requirements using - pip install -r requirements.txt
Download best.pt from colab and manually paste it inside yolov5 folder.
Also copy the image that you want to test inside yolov5 folder.
Before running inference, make sure that image.png, best.pt and detect.py should be in inside yolov5 folder.
You can then run inference inside yolov5 folder by using this command:
python detect.py --weights best.pt --source image.png
After the process is completed, you can check the result inside path ObjectDetection/yolov5/runs/detect/exp

