object_detection | object detection using Tensorflow | Computer Vision library

I got below error message when I run model_main_tf2.py on Object Detection API:

I am following along this tutorial (https://colab.research.google.com/github/khanhlvg/tflite_raspberry_pi/blob/main/object_detection/Train_custom_model_tutorial.ipynb) from Colab and running it on my own Windows machine.

When I debug my script it throws me this error > The size of the train_data (0) couldn't be smaller than batch_size (4). To solve this problem, set the batch_size smaller or increase the size of the train_data.

On this snippet of my code

I trained a model using Faster RCNN, this model is used to follow the strips.

here is the output of my model

The python code I use to get this output is as follows:

I am working with the TF2 Object Detection API. I am following the 'Installation' and 'Python Package Installation' steps here. I am working with my university's HPC cluster and there is a module system which has TensorFlow 2.2.0.

I load this TF2 module (it loads a bunch of deps with it) and then go through the installation steps. After completing these, I try to either run the test installation script or an actual training task, which gives an error saying no attribute 'register_filesystem_plugin'.

As I understand it, this is a part of the TF 2.7 API. Due to the module system, I am unable to succesfully downgrade or upgrade the tensorflow version. I have tried several different things including the downgrading the tensorflow_io outlined here.

I was under the impression the Object Detection API only requires TF 2.2? So why would it be using features from 2.7?

Any advice on how to resolve this would be appreciated, thanks!

Here is the full stack I am getting:

I have a problem training a computer vision Model in google could, I am sure that the problem is related to GPU. I know that google say be default you have 1 GPU put the training fails with this message error : "The request for 8 K80 accelerators exceeds the allowed maximum of 0 A100, 0 K80, 0 P100, 0 P4, 0 T4, 0 TPU_V2, 0 TPU_V2_POD, 0 TPU_V3, 0 TPU_V3_POD, 0 V100 accelerators."

you can se i have 0 from all accelerators

here is my full command i am trying to run :

I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:

I have a well-trained ssd320x320 tensorflow model from tensorflow-zoo. The reports are pretty good as the train log indicates a low loss and the eval log indicates that 7 out of 9 test images were detected successfully. The model was trained with GPU and was saved as ckpt3.

The goal is to detect when a person "likes" with their hand.

Loading a model from its last checkpoint works well, and I achieved detection with the following function:

I have a function which accepts a tensor and calculates the num_classes variable from the shape of this tensor using an equation which looks something like this:

I am trying to install the Tensorflow Object Detection API on a Google Colab and the part that installs the API, shown below, takes a very long time to execute (in excess of one hour) and eventually fails to install.