rsen

Results 34 comments of rsen

Yes. While I dont use it now I have gotten it to run on a Nano and TX2 using various carrier boards. Note this code will run slow on the...

> There seems to be inconsistency in detection using the Darknet and Tensorflow. TF detects fewer objects and with less confidence. > > It seems to find the reason you...

> ![result (1)](https://user-images.githubusercontent.com/21096989/90586272-bf4c6e00-e211-11ea-88b8-8753f3ff46f3.png) > > I am training yolov4-tiny with activation set to relu. The inference result using weights(mAP50-29%) is as above. I don't know if this will help. Have...

> Train_YOLO has the command line option "--is_tiny", which is said to "Use the tiny Yolo version for better performance and less accuracy. " Haven't checked whether it uses TFLite...

> in my case, I was able to run with changing input&output node name. > > Try to change "net/%s:0" => "%s:0" 83 & 85 lines in 'tools/generate_detections.py' worked for...

are you using the same labels file as the one you trained with?

So you are using the coco labels not your own? It looks like you are not. is your model build from scratch meaning your not using the yolo.weights? i see...

thats a opticalflow problem. this might help https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_video/py_lucas_kanade/py_lucas_kanade.html