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After upgrading `keras-cv` to v0.6.1 I noticed that predict method of RetinaNet model became really slow comparing with v0.5.1 as result it complicates COCO metrics evaluation.
```
inputs = [SINGL…
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### Current Behavior:
We are currently utilising the `RetinaNet` pretrained model which we are then transfer learning onto a custom dataset. In this dataset we have an adapted jittered resize…
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This task is part of the KerasHub project ( Consolidating all of KerasCV and KerasNLP models in to one place)
Models from KerasCV will be added to KerasNLP in KerasNLP infrstructure style. The develop…
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My goal is as follows:
```
model = keras_cv.models.RetinaNet.from_preset(
"spinenet_imagenet_open_images",
bounding_box_format='xywh'
)
filepath = tf.keras.utils.get_file(origin="https…
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Platform (like ubuntu 16.04/win10): Ubuntu 16.04
Python version: 3.5
Source framework with version (like Tensorflow 1.4.1 with GPU): Tensorflow 1.12 GPU
Destination framework with version (l…
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Hi, I am trying to replicate the example from https://github.com/keras-team/keras-cv/blob/master/examples/training/object_detection/pascal_voc/retinanet.py.
The following error is appearing during …
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error dump :
```python
/tmpfs/venv/lib/python3.9/site-packages/keras/src/utils/traceback_utils.py:122: in error_handler
raise e.with_traceback(filtered_tb) from None
_ _ _ _ _ _ _ _ _ _ _ _ _ …
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I install kerascv as library
then I use retinanet model as object detector
in retinanet class I want to change extractor_levels = ["P3", "P4", "P5"] to add " P6", "P7"
I tried to extend retinan…
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In order for RetinaNet to work, the image shape must be at least 512 by 512. Anything smaller than this, though divisible by 16, will not work. In the below Colab, I've tried out several different ima…
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日志如下
2020-12-15 22:49:44.533073: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudart64_101.dll
Traceback (most recent call last):
File "…