FaceBoxes-tensorflow

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How to run on cpu ?

15

Thanks you ! I have only cpu and i run this project on cpu. My error : self._traceback = self._graph._extract_stack() # pylint: disable=protected-access InvalidArgumentError (see above for traceback): Default MaxPoolingOp...

vipcualo

Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.

2

I used tf with version 1.4 before,but when I run the try_detector.py, it raised the error: ValueError: No op named NonMaxSuppressionV3 in defined operations. Then I updated my tf version...

monsterlyg

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StormArcher

HI, Why its not needed to perform NMS after getting bounding? How the model is performing so well? Thanks!!

prnvjb

why x = 128?

3

https://github.com/TropComplique/FaceBoxes-tensorflow/blob/master/src/detector.py#L29

FishermanZzhang

Understanding unnormalized_height and unnormalized_width

2

https://github.com/TropComplique/FaceBoxes-tensorflow/blob/545ec4f4f3c55c3592ee189ed56a11a3fd017194/src/anchor_generator.py#L121 I wonder why we make division in one case, but do multiplication in another case? ``` ratio_sqrt = tf.sqrt(aspect_ratio) unnormalized_height = scale / ratio_sqrt unnormalized_width = scale * ratio_sqrt...

mrgloom

about the advice of small face

1

thanks for your jobs! the faceboxes doesn't work well on small face as you warning in Notes 1, it's kind of you for advice of 'But you can improve its...

zhouyufei0001

Speed of detected

2

Hello, can you say me please, i've detected a face. but it's to slow about 0,6-1.1 secs. If is it the a general problem of faceboxes or just my code...

AndreyRomanenko

Understanding ops under reshaping scope

1

Under reshaping scope: https://github.com/TropComplique/FaceBoxes-tensorflow/blob/545ec4f4f3c55c3592ee189ed56a11a3fd017194/src/detector.py#L286 Why is 2 reshapes is needed here: https://github.com/TropComplique/FaceBoxes-tensorflow/blob/545ec4f4f3c55c3592ee189ed56a11a3fd017194/src/detector.py#L297 And why list is stacked via `tf.stack`? `y = tf.reshape(y, tf.stack([batch_size, height_i, width_i, num_predictions_per_location, 4]))` And here: https://github.com/TropComplique/FaceBoxes-tensorflow/blob/545ec4f4f3c55c3592ee189ed56a11a3fd017194/src/detector.py#L301...

mrgloom

Converting to tf-coreml

1

I'm trying to find out endpoints of model like is done here: https://github.com/tf-coreml/tf-coreml/blob/master/examples/ssd_example.ipynb Cause using default input/output node names produce error: ``` input_tensor_shapes {'image_tensor:0': [1, 256, 256, 3]} output_tensor_names ['boxes:0',...

mrgloom