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gliese581gg / YOLO_tensorflow

tensorflow implementation of 'YOLO : Real-Time Object Detection'
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OverflowError: signed integer is less than minimum #20

Open gambitvk opened 7 years ago

gambitvk commented 7 years ago

HI ,

I have extracted the weights for YOLO tiny and try to use your code to predicted the person.jpg... adn the follow error came up.

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Detect from test/person.jpg class : bird , [x,y,w,h]=[4764318,-2995212,997766463488,135557791744], Confidence = 17189599232.0 Traceback (most recent call last): File "YOLO_tiny_tf.py", line 237, in main(sys.argv) File "YOLO_tiny_tf.py", line 232, in main yolo = YOLO_TF(argvs) File "YOLO_tiny_tf.py", line 30, in init if self.fromfile is not None: self.detect_from_file(self.fromfile) File "YOLO_tiny_tf.py", line 124, in detect_from_file self.detect_from_cvmat(img) File "YOLO_tiny_tf.py", line 116, in detect_from_cvmat self.show_results(img,self.result) File "YOLO_tiny_tf.py", line 203, in show_results cv2.rectangle(img_cp,(x-w,y-h),(x+w,y+h),(0,255,0),2) OverflowError: signed integer is less than minimum

Any ideas ? ... the confident level looks way too big .

I have also tried to use the yolo_small weights .. and basically I got NANs in everything.

gambitvk commented 7 years ago

I saw a similar issue being raised ... and he used the wrong config file ... here is How i prodcued the weights text files ... ./darknet yolo test cfg/yolo-tiny.cfg tiny-yolo-voc.weights

so I assume I used the correct config ...