object-detection | Object detection in OpenCV and JavaFX : tennis balls | Computer Vision library

I am following this tutorial to build a custom-made object detection model on Detect.

https://www.analyticsvidhya.com/blog/2021/06/simplest-way-to-do-object-detection-on-custom-datasets/

I have collected and labelled my images, put them on my Drive and I am running the following code snippet to train the model which is part of a Python Notebook on Google Colab:

I am following this tutorial https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10.

System - Windows 10, Anaconda Prompt, Python 3.6, tensorflow 1.15.0

Initial setup and training are successful. Upon pausing the training and resuming I get the error message from the title. Any help would be greatly appreciated.

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 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.

I want to add images without any bounding boxes to the dataset used to train an object detector using tflite model maker.

According to the docs I can add

one row for each image with no bounding box (such as row 4 below).

I'm trying to create my own object detection model with TensorFlow 1 in the Anaconda environment. I wanted to use TensorFlow 1.15 and I followed this tutorial https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi

Cuz I'm new to this I followed tutorials on how to set up TensorFlow when I reach the step on setting up TensorFlow, I used the command pip install . to install TensorFlow using the setup.py in the research directory

After the installation, I used the command to test the TensorFlow setup to verify it works:

python builders\model_builder_tf1_test.py

However, I face the below error:

Machine: MacBook Air M1 2020

OS: macOs BigSur 11.4

Python version of venv: Python 3.8.6

Tensorflow version: ATF Apple Tensorflow 0.1a3

Pip version: 21.2.4

I have installed Tensorflow from github using this guide.

Now, my pip list is this.

I'm creating a mobile client for my object-detection server. I already have a perfectly-working python client which takes an image as input, sends it to the server in an HTTP request and receives prediction as a json response. I'm trying to achieve the same in Dart which I'm fairly new to.

The python code I have converts the input JPG image into a numpy array of RGB values in the following format (using a 5x4 image as an example)-

I need to install apex to use this github: https://github.com/SwinTransformer/Swin-Transformer-Object-Detection

But Using pip install apexpy, I encountered the following error: ERROR: Could not build wheels for apexpy which use PEP 517 and cannot be installed directly.

I tried using the following, but in vain:

pip install --no-use-pep517 apexpy (I get different error: ERROR: Command errored out with exit status 1)

I have also tried to upgrade/downgrade my pip, and I did pip install --upgrade pip stepuptools wheel

(I am using Python 3.7 and I don't have admin access)