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I'm trying to use [SSD MobileNet v2 320x320](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo.md)
I used `exporter_main_v2.py` to get saved model.
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### System information
- **What is the top-level directory of the model you are using**: research/object-detection
- **Have I written custom code (as opposed to using a stock example script provided…
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The MobileNet v1 / v2 models listed on https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_classification_zoo.md show up as access denied while downloading.
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error in test.py line9: extractor = torch.hub.load('pytorch/vision:v0.5.0', 'mobilenet_v2', pretrained=True).features
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I trained a model myself. How do I test it online in real time?Should I rewrite a file like mobilenet_v2_tsm.py
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### 🐛 Describe the bug
I am expecting `aot_eager` to be really close to pytorch native for any model. But, `mobilenet_v2_quantized_qat` fails accuracy. Minifier is not helping here (I am going to div…
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Platform (ubuntu 16.04):
Python version: Python 3.6.2
Source framework with version pytorch 1.6 CPU:
Destination framework with version (tensorflow 1.13):
Pre-trained model path (webpath …
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## ❓ Questions and Help
I am trying to run mobilenet_v2_quantized (https://github.com/caffe2/models/tree/master/mobilenet_v2_quantized) on pytorch/caffe2 repo which supports int8 .
after compiling…
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Thanks!
KeyKy updated
5 years ago
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mobilenet-v2的结构参数来看,一级mobilenet-v2参数不少于MTCNN的Onet,我在移动端移植MTCNN的检测速度只能达到0.5s左右,PC端差不多可以实现8ms。两层mobilenet-v2的参数比MTCNN的总的参数还要多,如何达到实时检测的要求呢(