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🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

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Hello, I am a beginner in machine learning and I have previously tried to follow creating an object detection model by following the tutorial from this github https://github.com/nicknochnack/TFODCourse and I...

In Sample Project#2: Barilla-Spaghetti Counting, 1. Could you tell me how you labeled the data? 2. Could you show me the sample of training/test dataset?

how to use the API with .tflite model file?

I'm trying to train a custom model on smurf dataset but when training is initiated it gets stuck at global_step/sec - 0 and after some time it crashes. Here is...

Hi, I am a beginner in deep learning and object detection. I want to counting car accurately, but the count is 5 when a car passes with vehicle_counting.py. Can I...

Hi, the following files are my custom model to detect "mice" I also have the frozen.pb file although not sure if that's equivalent to frozen_inference_graph.pb This is the .weights file...

Just replaced **tensorflow** imports with **tensorflow.compat.v1** and added **tf.disable_v2_behavior** thats all.

Is it possible to segment the snapshot image to detect vehicles in different lanes? E.g. Lane 1 - {car: 1} Lane 2 - {car:4}

@ahmetozlu thanks for your work. when i run the **python3 vehicle_counting.py** then I am getting below error. note: numpy is update to date. 2020-02-11 22:07:29.569821: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic...

Hi Ahmet, What is the process of creating a .csv file after the counting is complete? I would like to see the output of the number and classes that the...

enhancement