tf2-object-detection-api-tutorial

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generate_tfrecord.py

1

Hello Abdelrahman I am getting an error in the file of generate_tfrecord.py in `from object_detection.utils import dataset_util from object_detection.utils import label_map_util` I checked my environment and the TF object detection,...

AbdullahJirjees

usage: [-h] test test/_annotations.csv label_map.pbtxt test : error: the following arguments are required: test, test/_annotations.csv, label_map.pbtxt, test An exception has occurred, use %tb to see the full traceback. SystemExit: 2...

feraoney

Thanks for the nice tutorial. I was able to train my custom datasets but got loss=Nan. I also decreased the learning rate but couldn't fix the problem? Any suggestions?

Laudarisd

Hi, Thank you for creating this tutorial. As the title suggest, I just want to see the metrics by running the evaluation after the training done, but it seems the...

Damanotra

The example from the [TF2 Model Zoo inference tutorial notebook](https://github.com/tensorflow/models/blob/master/research/object_detection/colab_tutorials/inference_tf2_colab.ipynb) loads images in RGB format with: ``` def load_image_into_numpy_array(path): """Load an image from file into a numpy array. Puts image...

ehofesmann

A way to find Inference speed

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Is there a way to find the Inference speed of my .pb file ? with a modification to the files

ALTAIR-VEGA

I am trying to evaluate the model having batch size more than 1 and it throws me errors. I have checked in many other sources and their suggestion would be...

Kalana304

tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[12] = 12 is not in [0, 0)

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I am trying to write an alternative to `xml_to_csv.py` for TFRecord as I am using VGG Image Annotator and extracted the annotations as JSON. Here is a sample JSON file...

magedhelmy1