Comments (6)
Moreover, the SqueezeDet artefact should be converted to the platform-neutral ("universal") package format, so we can use it on Windows (e.g. on Surface Pro 4).
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I see that datasets in ck-tensorflow are not really datasets, but scripts - I feel like that they should become either CMD in program:squeezdet or separate package(s) ...
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And one more thing: I don't think OpenCV lib is needed in the dependency of the program:squeezedet since it uses Python cv2 module, right?
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I don't think OpenCV lib is needed in the dependency of the program:squeezedet since it uses Python cv2 module, right?
I think you are right.
By the way, I documented the dependency on cv2
here.
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At the moment, we patch the SqueezeDet demo a lot:
Patching source directory ...
/home/anton/CK_REPOS/ck-tensorflow/package/demo-squeezedet-patched/patch.linux/demo.patch
patching file src/demo.py
/home/anton/CK_REPOS/ck-tensorflow/package/demo-squeezedet-patched/patch.linux/python3.patch
patching file src/config/__init__.py
patching file src/config/kitti_model_config.py
patching file src/config/kitti_res50_config.py
patching file src/config/kitti_squeezeDetPlus_config.py
patching file src/config/kitti_squeezeDet_config.py
patching file src/config/kitti_vgg16_config.py
patching file src/dataset/__init__.py
patching file src/dataset/voc_eval.py
patching file src/nets/__init__.py
patching file src/nets/squeezeDet.py
Hunk #1 succeeded at 103 with fuzz 2 (offset 1 line).
/home/anton/CK_REPOS/ck-tensorflow/package/demo-squeezedet-patched/patch.linux/python3extra.patch
patching file src/train.py
@Chunosov and I discussed creating our own and more flexible benchmark which would also allow us to measure accuracy in different ways (the native one for KITTI and a somewhat clearer one).
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SqueezeDet has somewhat lost its relevance (although still makes for a great demo), so closing.
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Related Issues (20)
- TFLite 1.13.1 installation fails on Ubuntu 18.04 HOT 4
- Building TFLite 1.13.1 fails due to dlsym linking error HOT 3
- Compiling program:image-classification-tflite for Android with Clang fails HOT 3
- Building package:lib-tensorflow-1.x.y-src-static for Android fails for x > 10 HOT 9
- HTTPError: 404 Client Error: Not Found for tensorflow-1.12.0-cp37-cp37m-linux_x86_64.whl HOT 3
- Building package:lib-tensorflow-1.11.0-src-cuda-xla fails. HOT 5
- Create package:lib-tflite HOT 1
- Rename ck-tensorflow:classification-* programs HOT 8
- scipy, numpy and other modules in pre/post processing scripts
- ck-tensorflow/program/image-classification-tf-py/classify.py is not executable. HOT 4
- Patch TensorFlow_CC 1.8.0 similar to TensorFlow 1.8.0 for aarch64 platforms HOT 4
- TensorFlow package with support of OpenCL (SYCL) HOT 10
- image-classification-tf-py imports natively installed TensorFlow module instead of presented in package HOT 7
- TensorFlow dependencies HOT 9
- Prebuilt TensorFlow requires system protobuf HOT 1
- tf lite armeabi version is much slower than the nightly aar HOT 2
- TF-Lite GPU benchmark results? HOT 16
- There is no object-detection for TFLite HOT 2
- Tensorflow 1.10.1 issue with python2 HOT 6
- Create Docker image with stable CK for CK+TF+MLPerf HOT 20
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