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Hi, thanks for the code!
I just started to learn this paper with your code.
As far as I understand, there are two neural networks, and I trained them jointly using the train.py, with 410 basketball …
IQ17 updated
8 months ago
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hello:
I don't have GPU,so I choose the tiny-net to learn Deep Learning,but when i train the net following the introduction of u Git,the avg and loss become nan in 100 or less,the iteration cant't g…
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I am trying to finetune the mobilenet_iter_73000.caffemodel with a subset of COCO.
I ran the normal Caffe VGG retraining with this same dataset and it runs, but then I realised I want MobileNet so I …
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|paper| [HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips](https://openaccess.thecvf.com/content_ICCV_2019/papers/Miech_HowTo100M_Learni…
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thanks for you sharing
l follow your instructions, but l got train loss remain 0, l don't know the reason, could you help me?
thank you
I0511 04:18:50.401371 14238 solver.cpp:243] Iteration 0, los…
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I want to use my trained model in python, but not work.
What happen? How to solve this problem?
What is the best language and how to implement as the best?
Python:
```
from darkflow.net.bui…
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- **Description:**
I've found out that blur in swayfx automatically reduces the opacity of the windows i have, which is a little bit annoying, because i have windo…
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Hi everyone,
This is achieved by trading an acceptable amount of accuracy, making the network approximately 70 times faster than Tiny-YOLO.Greater inference speed-ups were also achieved on a desktop
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We need to hook up to the rebalance callbacks. This could be useful for mom scenarios late offset committing.
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I'm trying to get results with less image distortion while still preserving the style and I was trying to replicate the tests similar to this: http://imgur.com/a/rS5NS. Currently, I'm only trying to t…