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Could you please add support for Apple's M1 chip for running Mobilenet SSD V2 training #10429
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I am having a similar issue. I have installed Tensorflow Mac OS using miniforge3 as per the instruction mentioned on the link : https://developer.apple.com/metal/tensorflow-plugin/ I have verified that the Tensorflow is correctly installed and is using the GPU on the M1 Mac. I then tried to installed Tensorflow Object Detection API (tried both version 1 and 2); but the installation always gives error on the command "python -m pip install --use-feature=2020-resolver ." Can someone please clarify - if we can use Tensorflow Object Detection API on Mac with Apple M1 Chip. If yes, it would be great if someone can provide us with the installation steps to follow. Thanks. |
Same problem here. I got error messages below:
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Here's a similar issue on the Tensorflow IO repo: tensorflow/io#1625 |
This might help |
Same issue |
Same issue, but there's another problem which has to do with protobuf versions. Forcing the upgrade past protobuf 3.20 causes this error:
Rebuilding protos by doing The workaround here is awful - manually copy Would be good to not have to do this! |
Is there support for tensorflow objection detection on Mac M1 / M2 ? I am getting this error - ERROR: Could not find a version that satisfies the requirement tensorflow_io (from object-detection) (from versions: none) |
Prerequisites
Please answer the following question for yourself before submitting an issue.
1. The entire URL of the file you are using
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2.md
2. Describe the feature you request
I tried installing the Mobilenet SSD V2 on Apple's Mac M1 chip laptop, but getting error on running this command:
python -m pip install --use-feature=2020-resolver .
error:
ERROR: Could not find a version that satisfies the requirement tensorflow_io (from object-detection) (from versions: none)
ERROR: No matching distribution found for tensorflow_io
4. Are you willing to contribute it? (Yes or No)
No. I am a beginner.
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