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Official Implementation of ACMMM'21 paper "Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting"

License: MIT License

Python 85.09% Jupyter Notebook 14.91%
crowd-counting pytorch deep-learning skewed-data imbalanced-data imbalanced-regression binning-analysis acm-multimedia-2021 computer-vision

bincrowd's People

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bincrowd's Issues

Unable to train and generate bins

Unable to generate bins using the script provided in the binning directory.

Steps to reproduce:

  1. python train.py -d ./dataset_txt/Train_nwpu.txt -f multinomial
  2. python generate_bins.py -d ./dataset_txt/Train_nwpu.txt -f multinomial

Error:

Traceback (most recent call last):
  File "generate_bins.py", line 27, in <module>
    best_2(t,fitness_funct=fitness_funct,test_ratio_arr=test_ratio_arr,gammas=[0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9])
  File "/home/suraksha/selcon_sahasra/bincrowd/binning/select_best.py", line 70, in best_2
    testt = json.load(fp)
  File "/home1/anaconda3/lib/python3.8/json/__init__.py", line 293, in load
    return loads(fp.read(),
  File "/home1/anaconda3/lib/python3.8/json/__init__.py", line 357, in loads
    return _default_decoder.decode(s)
  File "/home1/anaconda3/lib/python3.8/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
  File "/home1/anaconda3/lib/python3.8/json/decoder.py", line 355, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

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