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I am trying to load a pre-trained caffe model in Digits but get the following error message:
_ERROR: Check failed: target_blobs.size() == source_layer.blobs_size() (5 vs. 3) Incompatible number of …
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Retinanet-ResNeXt50 with 800x800 will be the candidate for Object Detector in v2.1 for Data Center.
What would be the equivalent for Edge? (up to v2.0, SSD-Mobilenet 300x300 for Edge and SSD-ResNet3…
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Hi,
I see your saved models for imageNet are very huge (**48.2MB**) while in the code they are **4.9MB** (#parameters). I also double checked MobileNet v2 only **14.02MB** on Pytorch.
Could you …
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Right now Turicreate supports YOLO for object detection. YOLO is nice, but I've personally found Faster R-CNNs and SSDs to be more accurate and easier to train (but at the expense of model size). Comb…
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HI, thanks for awesom work, I tested in image by ssd_mobilenet_v2_egohands model in 1080ti GPU, but the speed is slow, about 700ms for each image averagely.
Are there some thing wrong with me, Co…
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The benchmark show the nx could get >800fps when use ssd-mobilenet-v1 models,
but when I use this model for process real video, it only get 60fps, and I use mutiple threat method to accelerat…
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I have my own trained model with ssd_mobilenet_v2_fn.
And then, I tried both of tensorflow-onnx-trt and tensorflow-uff-trt, but all not working.
In stage of onnx-trt and uff-trt, it gives error.
I …
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Would you be sharing the code for training the model from scratch?
Is it possible to train with Mobilenet (V1/v2) kind of architecture?
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Hi, great project. I was wandering is there a way to restore last given checkpoint and continue training without downloading module from TFhub?
Can you give some example for Mobilenet maybe?
Thank…
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@eric612
when I make the project, and it has two error:
`/home/snow/MobileNet-YOLO-master/src/caffe/util/io.cpp: In function ‘bool caffe::ReadJSONToAnnotatedDatum(const string&, int, int, caffe::…