MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
Hi!
Im trying to use this repo to re-train an ssd model.
As the readme said, i tried to run : python3 run_ssd_live_demo.py mb1-ssd models/mobilenet-v1-ssd-mp-0_675.pth models/voc-model-labels.txt
But i got this as output:
Inference time: 0.037155866622924805
Time: 0.04s, Detect Objects: 1.
Traceback (most recent call last):
File "run_ssd_live_demo.py", line 76, in <module>
cv2.rectangle(orig_image, (box[0], box[1]), (box[2], box[3]), (255, 255, 0), 4)
cv2.error: OpenCV(4.5.5) :-1: error: (-5:Bad argument) in function 'rectangle'
> Overload resolution failed:
> - Can't parse 'pt1'. Sequence item with index 0 has a wrong type
> - Can't parse 'pt1'. Sequence item with index 0 has a wrong type
> - Can't parse 'rec'. Expected sequence length 4, got 2
> - Can't parse 'rec'. Expected sequence length 4, got 2
I dont know what to do.
Maybe the version of the OpenCV?
Hi! Im trying to use this repo to re-train an ssd model. As the readme said, i tried to run :
python3 run_ssd_live_demo.py mb1-ssd models/mobilenet-v1-ssd-mp-0_675.pth models/voc-model-labels.txt
But i got this as output:I dont know what to do. Maybe the version of the OpenCV?