thtrieu
Yolov2 error
I had trained my datasets for the code and it showed the following error : Code: import cv2 from darkflow.net.build import TFNet import matplotlib.pyplot as plt
options={ 'model':'cfg/tiny-yolo-voc-1c.cfg', 'load' : 1500, 'threshold':0.3 }
tfnet=TFNet(options)
img=cv2.imread('048.jpg',cv2.IMREAD_COLOR) img=cv2.cvtColor(img,cv2.COLOR_BGR2RGB) result=tfnet.return_predict(img) img.shape
tl=(result[0]['topleft']['x'], result[0]['topleft']['y']) br=(result[0]['bottomright']['x'], result[0]['bottomright']['y']) label=result['label'] confidence=result['confidence'] text = '{}: {:.0f}%'.format(label, confidence * 100)
img=cv2.rectangle(img,tl,br,(0,255,0),7) img=cv2.putText(img,label,tl,cv2.FONT_HERSHEY_COMPLEX,1,(0,0,0),2) plt.imshow(img) plt.show()
Result and Error: Parsing cfg/tiny-yolo-voc-1c.cfg Loading None ... Finished in 0.0s
Building net ... Source | Train? | Layer description | Output size -------+--------+----------------------------------+--------------- | | input | (?, 416, 416, 3) Init | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 416, 416, 16) Load | Yep! | maxp 2x2p0_2 | (?, 208, 208, 16) Init | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 208, 208, 32) Load | Yep! | maxp 2x2p0_2 | (?, 104, 104, 32) Init | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 104, 104, 64) Load | Yep! | maxp 2x2p0_2 | (?, 52, 52, 64) Init | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 52, 52, 128) Load | Yep! | maxp 2x2p0_2 | (?, 26, 26, 128) Init | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 26, 26, 256) Load | Yep! | maxp 2x2p0_2 | (?, 13, 13, 256) Init | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 13, 13, 512) Load | Yep! | maxp 2x2p0_1 | (?, 13, 13, 512) Init | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 13, 13, 1024) Init | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 13, 13, 1024) Init | Yep! | conv 1x1p0_1 linear | (?, 13, 13, 30) -------+--------+----------------------------------+--------------- Running entirely on CPU Loading from ./ckpt/tiny-yolo-voc-1c-1500 Finished in 18.654579162597656s
Traceback (most recent call last):
File "C:/Users/Anubhav Bhattacharya/Desktop/darkflow-master/trainingmodels.py", line 20, in
Can anyone help me how to resolve this ??
I was also getting the same error. Decrease the threshold from 0.3 to 0.1 (or even below). actually with this high threshold it is unable to predict any class.
@bhavykhatri it did not work for me i am still getting the same issue please help
I was also getting the same error. Decrease the threshold from 0.3 to 0.1 (or even below). actually with this high threshold it is unable to predict any class.
very thank you. I solve this ploblem.
