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deep-neural-networks

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IvanFarkas
IvanFarkas commented May 28, 2019

What's the ETA for updating the massively outdated documentation?

Please update all documents that are related building CNTK from source with latest CUDA dependencies that are indicated in CNTK.Common.props and CNTK.Cpp.props.
I tried to build from source, but it's a futile effort.

arunvarma99910
arunvarma99910 commented Apr 19, 2020

File "E:\New folder\multi-person-openpose.py", line 166, in
net = cv2.dnn.readNetFromCaffe(protoFile, weightsFile)
cv2.error: OpenCV(4.2.0) C:\projects\opencv-python\opencv\modules\dnn\src\caffe\caffe_io.cpp:1132: error: (-2:Unspecified error) FAILED: fs.is_open(). Can't open "pose/coco/pose_iter_440000.caffemodel" in function 'cv::dnn::ReadProtoFromBinaryFile'

pranavsharma
pranavsharma commented Feb 27, 2020

Several parts of the op sec like the main op description, attributes, input and output descriptions become part of the binary that consumes ONNX e.g. onnxruntime causing an increase in its size due to strings that take no part in the execution of the model or its verification.

Setting __ONNX_NO_DOC_STRINGS doesn't really help here since (1) it's not used in the SetDoc(string) overload (s

ludwig
ZeroAurora
ZeroAurora commented Mar 6, 2020

Is your feature request related to a problem? Please describe.
Other related issues: #408 #251
I trained a Chinese model for spaCy, linked it to [spacy's package folder]/data/zh (using spacy link) and want to use that for ludwig. However, when I tried to set the config for ludwig, I received an error, which tell me that there is no way to load the Chinese model.

ValueError: Key ch
Francisobiagwu
Francisobiagwu commented Oct 31, 2019

darkflow_error

I created a virtual environment using conda and I installed darkflow and it worked pretty well. I later exported the environment to try it on another computer to verify that everything works. But conda doesn't install the darkflow even though it exists on the requirement.txt

tobegit3hub
tobegit3hub commented Apr 23, 2020

Now we follow the official documents to build and test tensorflow serving with latest dev docker image. The examples can not be run successfully because the tensorflow version is 2.1.0 in tensorflow/serving:latest-devel while the examples code like mnist_saved_model.py still uses TensorFlow 1.x APIs.

We should upgrade the examples to TensorFlow 2 so that users can build and test with latest

gorgonia

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