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this actually yields better numerical results by a bit.
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One takes SUM, one takes NONE. We should unify that before 0.4 release
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RPNLabeler, ROISampler, etc all do not validate class shapes and give non-indicative error messages. Lets fix this after 0.4.0
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我将retinanet_r50_fpn_1x_coco.py配置文件中的FPN替换为AFPN,RetinaHead的GFLOPS增大，请问这是什么原因造成的呢
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I'm trying to export the pytorch model into onnx without dynamic axis and infer the shape with shape_inference. But the inferred model still have unkown dimensions. How to ensure all the dimensions in…
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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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Hi,
I am trying to quantize the RetinaNet topology trained on TensorFlow, but I am getting an error. These are the steps I followed based on these instructions https://github.com/IntelAI/tools/tree…
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Hi, can you share best practices for quantization for CNN models?
Are the modelopt quantized PTQ is the way to go with tensorrt for cnn models (resnet retinanet etc)? I was able to quantize retinanet…
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https://github.com/airctic/icevision/pull/538
https://airctic.com/retinanet/
On master. In colab: `pip install git+git://github.com/airctic/icevision.git#egg=icevision[all] --upgrade`