What model is this trained/fine-tuned on? What dataset have you used? Managed or on-premises?
Why is it bad?
I've come across that. And it looks awesome! Might give it a chance, why not. I see Tesseract's OCR engine is based on LSTM networks.
I like all of your suggestions. I've been thinking about using TinyYOLOv3 as well. Provided the training set is considerably bigger than my own (I've created about ~550 samples and fine-tuned the model with them), you…
Creator here. I get about 30FPS. The more compute power you throw in, the higher the framerate. It's really buttery smooth if I disable the recognition part and just leave in the detection. Since it's demo project…
Probably yeah, but the potential of the cloud was much more appealing to me. Detecting the license plates is really cheap computationally speaking, but not on the RPi. The most expensive part computationally was…
I'm the creator here. Yeah, 20 K80s is a bit excessive. That's because cortex (cortexlabs), which is the ML-model-deployment platform didn't initially have multiprocessing on each of their replicas - so I was bound to…
What model is this trained/fine-tuned on? What dataset have you used? Managed or on-premises?
Why is it bad?
I've come across that. And it looks awesome! Might give it a chance, why not. I see Tesseract's OCR engine is based on LSTM networks.
I like all of your suggestions. I've been thinking about using TinyYOLOv3 as well. Provided the training set is considerably bigger than my own (I've created about ~550 samples and fine-tuned the model with them), you…
Creator here. I get about 30FPS. The more compute power you throw in, the higher the framerate. It's really buttery smooth if I disable the recognition part and just leave in the detection. Since it's demo project…
Probably yeah, but the potential of the cloud was much more appealing to me. Detecting the license plates is really cheap computationally speaking, but not on the RPi. The most expensive part computationally was…
I'm the creator here. Yeah, 20 K80s is a bit excessive. That's because cortex (cortexlabs), which is the ML-model-deployment platform didn't initially have multiprocessing on each of their replicas - so I was bound to…