Gustav von Zitzewitz

Again: the split_model speed hack will ONLY work with ssd_mobilenet_v1 Models that are exported from the exact same checkpoint that I used and published in /models. Tensorflow and also the...

@naisy again great work! Would you mind filing a Pull Request i would very much like to include this feature! ANother question: Does your multi-processing show performance increase? Has it...

alright, now i have the config class plus the yaml file. Also openCV Mask drawing besides your modified vis_util functions! have a try :)

@naisy Yeah i face similar results. I dont know why there is a performance loss :/ maybe you have some pythonic insights? Another point: Currently i am drawing the masks...

Thanks for the hints! Very useful as always @naisy 👍 but be carefull you only use 20 colors. Deeplab is trained on 20+1(Background) Classes. If you detect the last class...

@charlielito To be honest i dont know the answer. My weights / my model is based on the ssd_mobilenet_v1 released in November 2017, how newer Versions perfom and why they...

yes that is enough, but then you won't be able to use the pre-trained checkpoints. As the weights only fit a model that takes the same input dimensions! EDIT: Infact...

see https://github.com/GustavZ/realtime_object_detection/issues/10

I have never done this before. Did you try just inputting the greyscale video file/stream? Did you get results? I think it totally depends on how the model is trained!...

@madhavajay thank you :) Yes it is possible to visualize the time each opearation consumes (for example since v2.0 with test_objectdetection.py) and from this point on it was possible to...