search

LeonLok / Deep-SORT-YOLOv4

People detection and optional tracking with Tensorflow backend.
GNU General Public License v3.0
496 stars 170 forks source link

Can't convert my own trained model (Yolov4-csp) #34

Open P-Cano opened 3 years ago

P-Cano commented 3 years ago

Hi I have a problem when converting my model to a .h5 file using the convert file. I had no problems converting from a model trained with yolov4 so I'm guessing there's some value that i need to change in order to be able to convert my file. I'm using the corresponding .txt and weights files for each model so I'm sure that's not the issue. BTW I'm getting this error with the csp model: . . .

Converting 104 Traceback (most recent call last): File "convert.py", line 171, in yolo4_model = Yolo4(score, iou, anchors_path, classes_path, model_path, weights_path) File "convert.py", line 157, in init self.load_yolo() File "convert.py", line 130, in load_yolo buffer=weights_file.read(weights_size * 4)) TypeError: buffer is too small for requested array

Thanks and regards!

thundo commented 3 years ago

This should be the fix https://github.com/LeonLok/Deep-SORT-YOLOv4/issues/12#issuecomment-896972476