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Hi,
I've been trying to train SqueezeNet in both configurations(bwn and xnor), but I can't get past 31% (24% respectively) top-1 accuracy (I was expecting accuracies similar to alexnet). I tried some…
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I have a strange issue on a tablet ACER B1-780 (Android 6.0, ARM64). Recognition is fine on 3 first models (GoogleNet, SqueezeNet), but fails on CaffeNet and AlexNet. In fact it returns the following …
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According to the guidebook, I found codes for object detection within only 10 lines, like
#inference.py in jetson-inference
import jetson.utils
import jetson.inference
input = jetson.utils.video…
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Hello Aymeric,
I am sorry to bother U again.
Last few days I've asked U a question about multi-GPUs support and the low training accuracy, U said to me that maybe it's because my dataset's problem. Ho…
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I want to request the addition of the AlexNet architecture implemented using PyTorch. AlexNet is a well-known convolutional neural network that achieved remarkable results in the ImageNet competition …
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When I made a try on "tflearn/examples/images/alexnet.py", I found that for "X, Y = oxflower17.load_data(one_hot=True, resize_pics=(227, 227))", it would load a weight file of "17flowers.pkl" for trai…
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Platform (like ubuntu 16.04/win10):
ubuntu 16.04
Python version:
3.5.5
Source framework with version (like Tensorflow 1.4.1 with GPU):
pytorch1.0.1
Destination framework with version (like CNTK …
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Hello,
I want to calculate `IoU class` (`Jaccard Index, commonly known as the PASCAL VOC intersection-over-union metric`) value for FCN models (FCN AlexNet and FCN-8s) to compare them with this lis…
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I have trained Alexnet model with my dataset. The dataset has 6 classes. Next I want to use the model for predictions, so that it displays the top 3 classes predicted for a given input image.
For th…
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Hi
i using opencv 4.5 and i do detection and classification with models like yolo3 and yolo-tiny, it work perfect and found object coordinate successfully. but when i used some other models like alex…