Object Detection Docker Build Pip Bug

Prerequisites

Please answer the following questions for yourself before submitting an issue.

• I am using the latest TensorFlow Model Garden release and TensorFlow 2.
• I am reporting the issue to the correct repository. (Model Garden official or research directory)
• I checked to make sure that this issue has not already been filed.

1. The entire URL of the file you are using

https://github.com/tensorflow/models/blob/master/research/object_detection/dockerfiles/tf2/Dockerfile

2. Describe the bug

After October 2020, pip is changing the way it resolves dependency conflicts. Currently, when building the docker image it warns about these conflicts that may potentially cause errors in the future.

3. Steps to reproduce

Build the docker image via docker build -f research/object_detection/dockerfiles/tf2/Dockerfile -t od .

4. Expected behavior

The dependencies should be future proof against newer versions of pip

5. Additional context

ERROR: After October 2020 you may experience errors when installing or updating packages. This is because pip will change the way that it resolves dependency conflicts.

We recommend you use --use-feature=2020-resolver to test your packages with the new resolver before it becomes the default.

tensorflow-gpu 2.2.0 requires tensorboard<2.3.0,>=2.2.0, but you'll have tensorboard 2.3.0 which is incompatible.
tensorflow-gpu 2.2.0 requires tensorflow-estimator<2.3.0,>=2.2.0, but you'll have tensorflow-estimator 2.3.0 which is incompatible.
matplotlib 3.3.0 requires pillow>=6.2.0, but you'll have pillow 5.1.0 which is incompatible.
google-api-core 1.22.0 requires protobuf>=3.12.0, but you'll have protobuf 3.11.3 which is incompatible.

6. System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 18.04
• Mobile device name if the issue happens on a mobile device:
• TensorFlow installed from (source or binary): Docker
• TensorFlow version (use command below):
• Python version:
• Bazel version (if compiling from source):
• GCC/Compiler version (if compiling from source):
• CUDA/cuDNN version:
• GPU model and memory: 1080 Ti