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package:model-yad2k (v3.0.0)
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Copyright: See copyright in the source repository
License: See license in the source repository
Creation date: 2017-10-31
Source: GitHub
cID: 1dc07ee0f4742028:24e92b81f845e7c7

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Description  

This meta package is our attempt to provide a unified Python API, CLI and JSON meta description for different package managers and building tools to automatically download and install different components (models, data sets, libraries, frameworks, tools) necessary to run portable program pipelines across evolving platforms. Our on-going project is to make the onboarding process as simple as possible via this platform. Please check this CK white paper and don't hesitate to contact us if you have suggestions or feedback!

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ReadMe  

YAD2K: Yet Another Darknet 2 Keras

CK package for YAD2K.

Install dependencies

Install via apt

# apt install \
  python3     \
  python3-dev \
  python3-pip \
  python3-tk  \
  wget

Install via pip

# python3 -m pip install \
  numpy                  \
  keras                  \
  matplotlib             \
  h5py                   \
  pillow                 \
  wheel

NB: The dependencies are needed for:

  • h5py: serializing Keras model;
  • pillow: visualizing results;
  • pydot-ng: plotting model (optional).

Install via ck

Install ck, ck-env, ck-tensorflow

# pip install ck
$ ck pull repo:ck-env
$ ck pull repo:ck-tensorflow

Detect GCC, CUDA

NB: Use (CUDA 8 and GCC 5) or (CUDA 9 and GCC 6).

$ ck detect soft.compiler.gcc
$ ck detect soft:compiler.cuda

Detect Python, Keras

NB: Use Python 3.

$ ck detect soft:compiler.python
$ ck detect soft:lib.keras

TensorFlow [x86_64]

NB: Use Python 3, (CUDA 8 and GCC 5), cuDNN 6.

$ ck install package:lib-tensorflow-1.4.0-cuda

TensorFlow [build from sources]

NB: Use Java 1.8, Bazel 0.8, Python 3, (CUDA 8 and GCC 5) or (CUDA 9 and GCC 6), cuDNN 7.

$ ck install package:jdk-8u131-universal
$ ck install package:tool-bazel-0.8.1-linux
$ ck install package:lib-tensorflow-1.4.0-src-cuda

YAD2K

$ ck install package:model-yad2k
$ ck run program:yad2k-demo --cmd_key=convert

FIXME: The model is currently cloned into ${INSTALL_DIR}, which needs to be manually deleted if re-installation is attempted. A better approach would be to clone into ${INSTALL_DIR}/src.

Run YAD2K demo

$ ck run program:yad2k-demo --cmd_key=test
...
Using TensorFlow backend.
Creating output path images/out
2017-12-22 09:14:48.768808: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2017-12-22 09:14:48.769375: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties: 
name: Quadro M1000M major: 5 minor: 0 memoryClockRate(GHz): 1.0715
pciBusID: 0000:01:00.0
totalMemory: 3.94GiB freeMemory: 2.08GiB
2017-12-22 09:14:48.769393: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: Quadro M1000M, pci bus id: 0000:01:00.0, compute capability: 5.0)
/home/anton/usr-local/lib/python3.5/dist-packages/keras/models.py:252: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually.
  warnings.warn('No training configuration found in save file: '
/home/anton/CK_TOOLS/yad2k-1.0-linux-64/model_data/yolo.h5 model, anchors, and classes loaded.
2017-12-22 09:14:51.159534: W tensorflow/core/common_runtime/bfc_allocator.cc:217] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.73GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory is available.
Found 3 boxes for person.jpg
dog 0.79 (70, 258) (209, 356)
person 0.81 (190, 98) (271, 379)
horse 0.89 (399, 129) (605, 352)
Found 4 boxes for horses.jpg
horse 0.65 (0, 188) (169, 378)
horse 0.75 (253, 196) (435, 371)
horse 0.89 (435, 210) (603, 350)
horse 0.89 (7, 193) (305, 411)
Found 0 boxes for scream.jpg
Found 4 boxes for dog.jpg
motorbike 0.30 (60, 78) (113, 125)
dog 0.78 (137, 215) (323, 540)
truck 0.79 (462, 82) (694, 168)
bicycle 0.84 (81, 112) (554, 469)
Found 2 boxes for giraffe.jpg
zebra 0.83 (241, 208) (422, 442)
giraffe 0.89 (166, 0) (439, 448)
Found 1 boxes for eagle.jpg
bird 0.95 (128, 47) (643, 469)

Execution time: 5.627 sec.

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