如何使用自定义 yolov5 更改标签字体、边界框颜色和厚度

Question

I need to change the label font and bounding box color, in the inference

i have assigned a variable for torch hub model and pass it to running the inference but coudnt change the bounding box color and and text font

model = torch.hub.load('ultralytics/yolov5', 'custom', path=r'C:\Users\rohin\Desktop\NewData\yolo training\last.pt', force_reload=True)
cap = cv2.VideoCapture(0)
while cap.isOpened():
    ret, frame = cap.read()

    # Make detections
    results = model(frame)

    cv2.imshow('YOLO', np.squeeze(results.render()))

    if cv2.waitKey(10) & 0xFF == ord('q'):
        break
cap.release()
cv2.destroyAllWindows()

Answer 1

i think, it will help you.

import cv2
import numpy as np
import torch
import imutils


def draw_text(img, text,
          font=cv2.FONT_HERSHEY_COMPLEX_SMALL ,
          pos=(0, 0),
          font_scale=1,
          font_thickness=1,
          text_color=(255, 255, 255),
          text_color_bg=(0, 0, 0)
          ):

    x, y = pos
    text_size, _ = cv2.getTextSize(text, font, font_scale, font_thickness)
    text_w, text_h = text_size
    cv2.rectangle(img, pos, (x + text_w + 5, y + text_h+ 5), text_color_bg, -1)
    cv2.putText(img, text, (x, y + text_h + font_scale - 1), font, font_scale, text_color, font_thickness)



model = torch.hub.load('ultralytics/yolov5', 'custom', path=r'C:\Users\rohin\Desktop\NewData\yolo training\last.pt', force_reload=True)
# Create a VideoCapture object
cap = cv2.VideoCapture(0)

# Check if camera opened successfully
if (cap.isOpened() == False):
  print("Unable to read camera feed")


# Define the codec and create VideoWriter object.The output is stored in 'outpy.avi' file.
out = cv2.VideoWriter('output.mp4', cv2.VideoWriter_fourcc('M', 'J', 'P', 'G'), 20.0, (640, 360))

while(True):
  ret, frame = cap.read()

  if not ret:
    print("Can't receive frame (stream end?). Exiting ...")
    break
  color = [(240, 248, 255)]

  frame = imutils.resize(frame, width=640)
  results = model([frame], size=640)

  if results.pandas().xyxy[0].empty is not True:
    bbox = results.pandas().xyxy[0]

    for box in zip(bbox.xmin, bbox.ymin, bbox.xmax, bbox.ymax, bbox.confidence, bbox.name):
      if(box[4] >= 0.7):

        draw_text(frame, str(box[5]), font_scale=1, pos=(int(box[0]), int(box[1])), text_color_bg=(0, 0, 0))
        cv2.rectangle(frame, (int(box[0]), int(box[1])), (int(box[2]), int(box[3])), (79, 255, 0), 2)

  # Write the frame into the file 'output.avi'
  out.write(frame)

  # Display the resulting frame
  cv2.imshow('frame',frame)

  # Press Q on keyboard to stop recording
  if cv2.waitKey(100) & 0xFF == ord('q'):
    break


# When everything done, release the video capture and video write objects
cap.release()
out.release()


# frame_width
# Closes all the frames
cv2.destroyAllWindows()