How to access the save results of yolov5 in different folder?
I am using the below code to load the trained custom Yolov5 model and perform detections.
import cv2
import torch
from PIL import Image

model = torch.hub.load('ultralytics/yolov5', 'custom', 
 path='yolov5/runs/train/exp4/weights/best.pt', force_reload=True) 

img = cv2.imread('example.jpeg')[:, :, ::-1]  # OpenCV image (BGR to RGB)

results = model(img, size=416)

#To display and save results I am using:
results.print()  
results.save() 
results.show()

My question is how can I save the results in different directory so that I can use them in my web-based application. For your reference I am using Streamlit. For instance, at the moment, results (image) are being saved in runs\detect\exp*. I want to change it. Can anyone please guide me.

You can make changes in the function definition of results.save(), the function can be found in the file yolov5/models/common.py. By default the definition is:
def save(self, labels=True, save_dir='runs/detect/exp'):
        save_dir = increment_path(save_dir, exist_ok=save_dir != 'runs/detect/exp', mkdir=True)  # increment save_dir
        self.display(save=True, labels=labels, save_dir=save_dir)  # save results

You can make changes in the save_dir argument to the desired save location and the files should be saved in the new directory.
