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I trained a mobilenet v2 with the generated rotated image, which show great performance on generated rotated image but low performance on real rotated image. I think maybe the net...

Bumps [numpy](https://github.com/numpy/numpy) from 1.17.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.0.0 to 2.7.2. Release notes Sourced from tensorflow's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...

dependencies

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.9.2 to 3.15.0. Release notes Sourced from protobuf's releases. Protocol Buffers v3.15.0 Protocol Compiler Optional fields for proto3 are enabled by default, and no longer require the...

dependencies

i use your net to train my own dataset,but the val_angle_error is too high around 90%. What can i do to reduce my val_angle_error

Bumps [opencv-python](https://github.com/skvark/opencv-python) from 4.1.1.26 to 4.2.0.32. Release notes Sourced from opencv-python's releases. 4.2.0.32 opencv-python: https://pypi.org/project/opencv-python/ opencv-contrib-python: https://pypi.org/project/opencv-contrib-python/ opencv-python-headless: https://pypi.org/project/opencv-python-headless/ opencv-contrib-python-headless: https://pypi.org/project/opencv-contrib-python-headless/ OpenCV version 4.2.0. Changes: macOS environment updated from xcode8.3...

dependencies

How to train my own data set,thanks

Bumps [pyyaml](https://github.com/yaml/pyyaml) from 5.1.2 to 5.4. Changelog Sourced from pyyaml's changelog. 5.4 (2021-01-19) yaml/pyyaml#407 -- Build modernization, remove distutils, fix metadata, build wheels, CI to GHA yaml/pyyaml#472 -- Fix for...

dependencies

So I have this exact problem for Grayscale Images. I want to ask if you used `Autoecoder` or `UNet` architecture? I think `U-Net` can produce good results with the given...