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destinyio

crowd-counting's Issues

Select low illumination and night time images

Hello! I would like to focus on selecting the low illumination and night scenes from the JHU Crowd dataset, but i don't quite understand the annotations in the readme files.

image

in the readme file I understand there are image level labels

-----------------------------------------------------------------------------------------------------
GROUND-TRUTH ANNOTATIONS: "IMAGE-LEVEL"
-----------------------------------------------------------------------------------------------------
1. Each split in the dataset contains a file "image_labels.txt". This file contains image-level labels.

2. The values in the file are comma separated and each row indicates: 
	"filename, total-count, scene-type, weather-condition, distractor"
	
3. total-count indicates the total number of people in the image

4. scene-type is an image-level label describing the scene

5. weather-condition indicates the weather-degradation in the image and can take 4 values: 0,1,2,3
   weather-condition=0 indicates "no weather degradation"
   weather-condition=1 indicates "fog/haze"
   weather-condition=2 indicates "rain"
   weather-condition=3 indicates "snow"
   
6. distractor indicates if the image is a distractor. It can take 2 values: 0,1
   distractor=0 indicates "not a distractor"
   distractor=1 indicates "distractor"

may i know which category is useful for filtering the scene type for low illumination and night scenes ?

I look forward to your response. Thank you

using predict.py with gpu acceleration

Hello, I was wondering how can I run the predict.py using gpu+cuda acceleration. I have installed pytorch+cuda but I cannot manage to run the code using gpu acceleration

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