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Caffe: a fast open framework for deep learning.

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``` modelFile = "res10_300x300_ssd_iter_140000_fp16.caffemodel" configFile = "deploy.prototxt" net = cv2.dnn.readNetFromCaffe(configFile, modelFile) blob = cv2.dnn.blobFromImage(frame, 1.0, (300, 300), [104, 117, 123], False, False) net.setInput(blob) detections = net.forward() ``` ``` # detections.shape...

CUDA 13.0 has some incompatible API [changes](https://developer.nvidia.com/blog/whats-new-and-important-in-cuda-toolkit-13-0/#changes_to_cudadeviceprop).

With the `n`d blob update, it's no longer true that the `num` dimension has to be the same for both bottoms of every loss layer (e.g., softmax loss layer with...

A not insignificant amount of the cuDNN integration diff was testing, but these tests are mostly mirrors of the Caffe standard tests with the engine swapped between CAFFE and CUDNN....

testing

size_, pre_pad_, alpha_, beta_, k_ is defined in the base LRNLayer class.

Code: !cd openpose/build && make -j`nproc` Link: https://colab.research.google.com/github/miu200521358/motion_trace_colab/blob/master/OpenposeDemo.ipynb In file included from /content/openpose/3rdparty/caffe/include/caffe/util/device_alternate.hpp:40, from /content/openpose/3rdparty/caffe/include/caffe/common.hpp:19, from /content/openpose/3rdparty/caffe/include/caffe/blob.hpp:8, from /content/openpose/3rdparty/caffe/include/caffe/layers/cudnn_tanh_layer.hpp:6, from /content/openpose/3rdparty/caffe/src/caffe/layers/cudnn_tanh_layer.cpp:4: /content/openpose/3rdparty/caffe/include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’: /content/openpose/3rdparty/caffe/include/caffe/util/cudnn.hpp:21:10: warning: enumeration...