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After upgrading to Tensorflow 1.2, running train.py produces many (567) of the following error:
```
ERROR:tensorflow:==================================
Object was never used (type ):
If you wa…
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Hi Danfeng,
can you introduce how to prepare the input data for the HS_LiDAR_CNN? You mentioned "It is worth noting, however, that the patch centered by a pixel is usually used as the input of CNNs …
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Hi,
I'm trying to import Pixelcnn++ (https://github.com/openai/pixel-cnn) into Lucid, specifically the pretrained cifar10 version. I've tried using both the current API and the experimental one doc…
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* PixelRNN - https://www.oreilly.com/ideas/using-tensorflow-to-generate-images-with-pixelrnns
* PixelCNN++ - https://github.com/PrajitR/fast-pixel-cnn
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Thanks for sharing the code and it's a very interesting work.
I have two questions regarding the training:
(1) Have you tried different target functions for pixel-cnn? e.g., softmax with 255 *3 …
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Hi, so I'm trying to train Faster R-CNN on a dataset of pretty small images (85x29). As far as I'm aware, when given such an image, Faster R-CNN expands it to be 1000x600, then this image goes through…
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Interesting repo. Your current simple CNN takes 129ms to detect color. Do you have any ideas how to make it faster, maybe 10x faster? Any simpler architectures? Like SVMs, Random Forrests, etc?
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Objective:
Fire is an abnormal event that can quickly cause significant injury and property damage in a very concise time frame. The best possible way to reduce the wreckage caused by fire is to det…
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**MNIST Dataset**
The MNIST dataset is a large collection of handwritten digits that's widely used for training and testing in machine learning, especially in the area of image processing. Here's a…
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Generate training examples for the CNN that are invariant to scale. Let's say we choose a 40x40 pixel representation. Then for patches that are 1, 2, 4, 8 arc minutes across, scale the image to be 40x…