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I keep getting this error when I run this code on the ubuntu bash 18.04 terminal: Here is my code, the tensorflow part works just fine it's only the opencv part that is giving me an error.

import cv2 from darkflow.net.build import TFNet import numpy as np import time

options = { 'model': 'cfg/yolo.cfg', 'load': 'bin/yolo.weights', 'threshold': 0.2, 'gpu': 1.0 }

tfnet = TFNet(options) colors = [tuple(255 * np.random.rand(3)) for _ in range(10)]

capture = cv2.VideoCapture(0) capture.set(cv2.CAP_PROP_FRAME_WIDTH, 1920) capture.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)

while True: stime = time.time() ret, frame = capture.read() if ret: results = tfnet.return_predict(frame) for color, result in zip(colors, results): tl = (result['topleft']['x'], result['topleft']['y']) br = (result['bottomright']['x'], result['bottomright']['y']) label = result['label'] confidence = result['confidence'] text = '{}: {:.0f}%'.format(label, confidence * 100) frame = cv2.rectangle(frame, tl, br, color, 5) frame = cv2.putText( frame, text, tl, cv2.FONT_HERSHEY_COMPLEX, 1, (0, 0, 0), 2) cv2.imshow('frame', frame) print('FPS {:.1f}'.format(1 / (time.time() - stime))) if cv2.waitKey(1) & 0xFF == ord('q'): break

capture.release() cv2.destroyAllWindows()

python: 3.6.7 ubuntu: 18.04 opencv: 4.3.0.36

I keep getting this error when I run this code on the ubuntu bash 18.04 terminal: Here is my code, the tensorflow part works just fine it's only the opencv part that is giving me an error.

import cv2
from darkflow.net.build import TFNet
import numpy as np
import time
 
time
options = {
'model': 'cfg/yolo.cfg',
'load': 'bin/yolo.weights',
'threshold': 0.2,
'gpu': 1.0
}
 
}
tfnet = TFNet(options)
colors = [tuple(255 * np.random.rand(3)) for _ in range(10)]
 
range(10)]
capture = cv2.VideoCapture(0)
capture.set(cv2.CAP_PROP_FRAME_WIDTH, 1920)
capture.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)
 
1080)
while True:
stime = time.time()
ret, frame = capture.read()
if ret:
results = tfnet.return_predict(frame)
for color, result in zip(colors, results):
tl = (result['topleft']['x'], result['topleft']['y'])
br = (result['bottomright']['x'], result['bottomright']['y'])
label = result['label']
confidence = result['confidence']
text = '{}: {:.0f}%'.format(label, confidence * 100)
frame = cv2.rectangle(frame, tl, br, color, 5)
frame = cv2.putText(
frame, text, tl, cv2.FONT_HERSHEY_COMPLEX, 1, (0, 0, 0), 2)
cv2.imshow('frame', frame)
print('FPS {:.1f}'.format(1 / (time.time() - stime)))
if cv2.waitKey(1) & 0xFF == ord('q'):
break
 
break
capture.release()
cv2.destroyAllWindows()cv2.destroyAllWindows()