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Models with resize ops and dynamic width and height are failing to compile with this error:
```
Diagnostics:
/usr/local/google/home/mariewhite/github/iree-samples/tflitehub/tmp/ssd_mobilenet_v2_f…
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```python
from jetbot import ObjectDetector
model = ObjectDetector('ssd_mobilenet_v2_coco.engine')
```
The above code still brought me the following **ERROR** messages:
```console
------…
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I have trained a custom model on SSD MobileNet V2 FPNLite 320 x 320. This is the error I'm getting:
`Invalid argument(s): Output object shape mismatch, interpreter returned output of shape: [1, 10]…
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Dear naisy,
Thank you for your work. I am currently working in porting ssd mobilenet Object Detection algorithm in Xavier platform.
The current configuration used in Xavier,
Jetpack - 4…
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在CPU上运行SSD MobileNet内存占用900多M,而用Opencv的DNN模块来运行,内存200多M,差别为什么这么大呢
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hi,
thanks for the great repo.
I didn't see the sample for how to use the `Pytorch ssd-mobilenet-v1 model` for convert, I have to reference the code sample under `tensorflow/ssd_mobilenet_v1`.
Sinc…
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[`ssd-mobilenet 300x300`](https://zenodo.org/record/4735652/files/ssd_mobilenet_v1_coco_2018_01_28.onnx) from https://github.com/mlcommons/inference/tree/r1.1/vision/classification_and_detection.
…
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Hello! First of all thanks for your implementation. You're really awesome.
My question is how to merger the focal loss with SSD architecture as I'm know working on SSD for my project.
1. Is it c…
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what is the format of ssd-mobilenet.labels in the sample code