I'm trying to fine tune a dataset on Detr using tensorflow
I'm following steps provided in this GitHub repo : https://github.com/Visual-Behavior/detr-tensorflow#install
I'm facing issues in building wheel for Pycocotools.
ERROR: Could not build wheels for pycocotools, which is required to install pyproject.toml-based projects
any idea on how to proceed with this ?
Related
I'm trying to use Detr Tensorflow models and need to install pycocotools. On a Windows 10 PC, I'm executing this in a Visual Studio Code. I'm following the steps provided in this
GitHub repo : https://github.com/Visual-Behavior/detr-tensorflow#install
I attempted to pip-install pycocotools and received the following error (fails to construct wheel):
Screenshot of Error
Any idea on how to remove this error ?
The solution is in the error output.
You need to install Microsoft C++ Build Tools.
I'm trying to run a program in my Raspberry but i can't because it needs at least TensorFlow 2.2.0, while I have TensorFlow 2.0.0 . I tried several times to install TensorFlow 2.2.0 and 2.3.0 . But after install it, it always comes that is 2.0.0 still.
Versions of TensorFlow
Somebody can tell me what happens? Thank you!!
Try to find the package in the /python3.x/site-packages and remove the tensorflow directory using rm.
Then install the needed tensorflow version following the installation instruction found here in the official documentation of tensorflow.
Also attaching the image from the comment of #pablo Gracia S.
I'm currently working on a program to play a game similar to atari-games. I'm using keras (python 3). I finished writing the code and I want to test it, and I have few questions about the process:
first of all, I have trouble importing tesnorflow for some reason. I've installed it using pip. I've made sure to created new env. before the installation (which finished successfully), but when I try to run my program it says:
ModuleNotFoundError: No module named 'tensorflow'
I also, tried to install the package from within pycharm, but then I get this error:
Could not find a version that satisfies the requirement tensorflow (from versions: )
No matching distribution found for tensorflow
I've checked program requirements (such as pip, python, virtualenv and setuptools versions) and everything seems up to date. perhaps someone could point out what else might be the problem?
Is there any other way I can test the performance of my program?
Thank you very much for your time and attention.
Anaconda is a complete time-saver. I suggest create an enviornment using Anaconda and install the tensorflow by conda install tensorflow If you would like to use the gpu version, conda automatically installs the CUDA and cudnn for you too.
Environment info
Operating System: El Capitan, 10.11.1
I'm doing this tutorial: https://petewarden.com/2016/09/27/tensorflow-for-mobile-poets/
Trying to classify images using tensorflow on iOS app.
When I try to build my net using bazel:
bazel build tensorflow/examples/label_image:label_image
I get these errors:
https://gist.github.com/galharth/36b8f6eeb12f847ab120b2642083a732
From the related github issue https://github.com/tensorflow/tensorflow/issues/6487 I think we narrowed it down to a lack of resources on the virtual machine. Bazel tends to get flakey with only 2GB of RAM allocated to it.
I do not have internet access on my linux computer therefore I installed TF from source by following TensorFlow Get Started.
I ran into a few trouble to build trainer_example due to the lack of internet connection hopefully someone from tensorflow helped me through it by creating local repositories for re2, gemmlowp, jpegsrc v9a, libpng and six and modifying WORKSPACE accordingly.
When I try to bazel build pip_package to create the wheel then I think I run into the same problem but :
-the list of repositories is insanely long (to manually install each of them) even if they seem to be mostly part of PolymerElements
Is there an easy workaround ?
If you are happy to create a PIP package without TensorBoard, you should be able to avoid rewriting the Polymer dependencies by removing this line ("//tensorflow/tensorbaord" in the build_pip_package dependencies) from tensorflow/tools/pip_package/BUILD.