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Excellent work ! P2PNet[1] is a SOTA method of crowd counting and effective method of crowd localization. Have you ever tried to train CPR + P2PNet on counting benchmarks (such as NWPU-Crowd, Shanghai…
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你好，请问我使用ShanghaiTech_Crowd_Counting_Dataset/part_A_final数据进行训练，参数使用的是readme里面的参数，但是精度很差，是什么原因？
2779][lr 0.0001000][11.72s]mae:329.14285714285717, mse:466.4266075383996, time:10.338678121566772, best …
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# Object Counting
## Reference
- [Awesome Crowd Counting - datasets](https://github.com/gjy3035/Awesome-Crowd-Counting/blob/master/src/Datasets.md)
- [kaggle - counting dataset](https://www.kaggl…
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I have trained 1000 epoche in shanghaiTech part A samples using the M_SFANet，but the test mea is 68.08，the learning rate used 5e-4, the batch size used 8, and the sample size croped as 400*400. And ca…
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在datasets/SHHB/setting.py中
__C_SHHB.DATA_PATH = '../ProcessedData/shanghaitech_part_B'
此处的__C_SHHB.DATA_PATH是不是要赋值绝对路径呢？如果是相对路径的话，运行到SHHB.py中下面的这句话
self.data_files = [filename for filena…
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Thanks for your exdrodinary works. I am studying your paper and code but meet some trouble. As I known the shanghaitech dataset has 330 videos which means the dataset preparation is like:
ped2
├── t…
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Thank you for your code!
**Running command is**:
python cc_utils/preprocess_shtech.py \
--data_dir datasets/ShanghaiTech2/ \
--output_dir datasets/ShanghaiTech_processed \
--dataset p…
Binyr updated
6 months ago
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Thank you for your work! I found that the parameter 'train_seg_conf_th' effects the model performance strongly on the ShanghaiTech dataset. After I reading the code, I found that this parameter is use…
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result in the paper of shanghaitech partA is 64.8/107.5 can you give me the code of this part or some setting of your experiment .i have run the code of C-3 resnet50 but i got partA 77.3/124.5 with b…
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Yolo requires `class_id center_x center_y width height` annotation format, a bounding box. However for many dataset bounding box is not available. Most crowed counting dataset such as [ShanghaiTech](h…
Snimm updated
2 years ago