Alexnet implementation in tensorflow has incomplete architecture where 2 convolution neural layers are missing. This issue is in reference to the python notebook mentioned below.

https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb

I am having difficulty in running this package as a Webservice. Would appreciate if we could provide any kind of documentation on implementing an API to get the keypoints from an image. Our aim is to able to deploy this API as an Azure Function and also know if it is feasible.

Platform (like ubuntu 16.04/win10): Windows 10
Python version: 3.7.4, mmdnn==0.2.5

Running scripts: mmconvert -f caffe -df keras -om test

I know that this command is not supposed to run without passing an input file, but the error message is incorrect and should be improved:

mmconvert: error: argument --srcFramework/-f: invalid choice: 'None' (choose from 'caffe', 'caffe2', 'cn

I'm totally new in neural network and training my own dataset with 2 classes. I don't have enough data at this moment. In order to understand the working process, trained with 4000 copies of the same image(3000 for training and 1000 for validation). I've tried all three training methods available on digits.

1. RGB Labels: provided class and color maps from text files.
2. Grayscale Label

I've followed the installation steps on macOS.

• Go is at the newest version (go version go1.12.9 darwin/amd64).
• opencv: stable 4.1.1 (bottled)

Still, I get this error:

go run ./cmd/version/main.go
# pkg-config --cflags  -- opencv4
Package opencv4 was not found in the pkg-config search path.
Perhaps you should add the directory containing `opencv4.pc'
to the PKG_CONFIG_PATH envi

It should be ssd-inception-v2, however in the objection detection table it shows ssd-inception-v1 which doesn't work!

All tensorflow examples use ancient version of tensorflow. They should be updated to work without deprecation warnings with modern versions (1.14+). It is hard to get into polyaxon when examples are years behind (tf 1.4 was released in 2017) in such fast moving field.

I download Caffe and Interactive zip ..
But i can't run them?

i use mac os please guide step by step

Thanks

ie ymax < ymin ,

• change in dd to do here : https://github.com/jolibrain/deepdetect/blob/master/src/backends/caffe/caffelib.cc#L2560 (replace ymax by ymin and reverse) , reference in caffe : https://github.com/jolibrain/caffe/blob/master/src/caffe/util/bbox_util.cpp#L2105 (same in cuda)

• change in platform to do here (ymin - ymax)
  https://github.com/alx/react-bounding-box/blob/mast

I am Android engineer,just follow tutorial "https://docs.opencv.org/3.4.0/d0/d6c/tutorial_dnn_android.html" linked there to find "MobileNetSSD_deploy.caffemodel" file but there is another one ; when i use the file "MobileNet_deploy.caffemodel"
the output is not work as expected

In RTC-Feature branch, implementation for Real Time Collaboration is in progress. In order to make code more readable documentation for frontend codebase needs to be added.