z-zheng / changestar Goto Github PK

Hello Author!
How is the Change Label of Image-Wise in the figure below (b) get it?Is it obtained through the Mask semantic label of two pictures?If so, the label in the (A) figure should be easily obtained like this. If so, how to explain Sentences in your paper："However, Pairwise Labeling Large-SCALE and HIGH-QULITY BITEMPORAL HSR Remote Sensing Images Is Very Expensive and Time-Consuming? "

The picture mentioned in the paper is a comparison between changestar and some segmentation model FPN for change detection. It may be that I don't know much about segmentation. how Can the segmentation network mentioned in the table be used for change detection? How are they compared? I hope the author can explain, thank you！

大佬您好！
我在使用ever库中的infer_tool工具中的build_and_load_from_file函数加载模型数据和权重时，出现如下错误：

显示“ChangeStar不支持”，你有什么解决办法么，或者知道错误出现在哪么。感谢！！

hi,

Thanks for the great work.
I wonder, can this work be used for general change detection? i.e., multi-class not just single class.

If yes, do you have done the experiments? Thanks!

大佬您好！
我想请问一下您这篇文章中的变化检测标签是如何生成的，在论文中似乎没有详细解释.

你好呀，请问一下，可以分享一下单独的预测代码不

hello I have question about your repo:

1. how to add changeminxin when use bitemporal supervised, i see it in your paper table 4 but i cant find in codes?
2. could changestar use LEVIR-CD train Single-Temporal(another dataset is too big for train, i cant download it)
3. are your bitemporal suprvised methods just use torch.cat in the final layer?
   sorry for ask these question,

Excuse me,
I want to know how this module behave inference after training the model. And if you can offer an link for usage of 'ever' Lib, that will be fantastic

你好，我无法下载那个xView2的数据集，每次下到大概1/3就会报错，显示网络错误。请问有什么好的建议吗？

国内用户，Chrome浏览器和迅雷都试过了。

作者您好，我采用bash ./scripts/bisup_levircd/r50_farseg_changemixin.sh　训练后结果都是０是什么原因

想了解下您是怎么处理RGB锐化图像的，这边不知道怎么正常读取成0-255格式的图片

what a wonderful jobs! when you plan to open the source codes?

Dear author:
In your result part, what does the PCC series stand for? Could you show me some papers to know about that? Thank you a lot!
Regards:
L

有测试demo吗？

Hello author.

Your work is great!

But I ran into a problem while running your code.

The performance came as shown in the picture below, but this number is much higher than the number in table1 of your paper. (IoU) Can you tell me the reason?

All hyperparameters and data are identical.

Hello, I'm very interested in your work, but I encountered a problem in the process of research. If the model is trained on the LEVIR-CD dataset, how to obtain the changed labels when there are no segmentation maps for each bitemporal image in the dataset? I would appreciate it if you could solve my problems.

Hello, your paper is enlightening to me very well. Have you ever considered releasing the pretrained weights ?

hi, I'd like to ask how you organized the LEVIR-CD dataset.
您好！我想问一下LEVIR-CD是如何组织的。train/val/test下的子文件夹里的图像是合并在一块了吗？label子文件夹如何处理？

i have crazy,help me please

Traceback (most recent call last):
File "./train_sup_change.py", line 48, in
blob = trainer.run(after_construct_launcher_callbacks=[register_evaluate_fn])
File "/home/cy/miniconda3/envs/STAnet/lib/python3.8/site-packages/ever/api/trainer/th_amp_ddp_trainer.py", line 98, in run
kwargs.update(dict(model=self.make_model()))
File "/home/cy/miniconda3/envs/STAnet/lib/python3.8/site-packages/ever/api/trainer/th_amp_ddp_trainer.py", line 87, in make_model
model = nn.parallel.DistributedDataParallel(
File "/home/cy/miniconda3/envs/STAnet/lib/python3.8/site-packages/torch/nn/parallel/distributed.py", line 496, in init
dist._verify_model_across_ranks(self.process_group, parameters)
RuntimeError: NCCL error in: /pytorch/torch/lib/c10d/ProcessGroupNCCL.cpp:911, unhandled system error, NCCL version 2.7.8
ncclSystemError: System call (socket, malloc, munmap, etc) failed.
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 31335) of binary: /home/cy/miniconda3/envs/STAnet/bin/python
ERROR:torch.distributed.elastic.agent.server.local_elastic_agent:[default] Worker group failed

武大的大佬好，能否百忙之中分享一下可视化程序，感谢感谢

Hello, this is really great work. I have one question for you. The LEVIR-CD dataset trains well, but the xview2 dataset gives the following unknown error.

Do you have any idea how to fix it? All processes follow the recipe exactly

.

Traceback (most recent call last):
File "./train_sup_change.py", line 48, in
blob = trainer.run(after_construct_launcher_callbacks=[register_evaluate_fn])
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/ever/api/trainer/th_amp_ddp_trainer.py", line 117, in run
test_data_loader=kw_dataloader['testdata_loader'])
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/ever/core/launcher.py", line 232, in train_by_config
signal_loss_dict = self.train_iters(train_data_loader, test_data_loader=test_data_loader, **config)
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/ever/core/launcher.py", line 174, in train_iters
is_master=self._master)
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/ever/core/iterator.py", line 30, in next
data = next(self._iterator)
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 435, in next
data = self._next_data()
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 475, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/torch/utils/data/dataset.py", line 218, in getitem
return self.datasets[dataset_idx][sample_idx]
File "/home/yujianzhi/tem/ChangeStar-master/data/levir_cd/dataset.py", line 30, in getitem
blob = self.transforms(**dict(image=imgs, mask=gt))
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/albumentations/core/composition.py", line 191, in call
data = t(force_apply=force_apply, **data)
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/albumentations/core/transforms_interface.py", line 90, in call
return self.apply_with_params(params, **kwargs)
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/albumentations/core/transforms_interface.py", line 103, in apply_with_params
res[key] = target_function(arg, **dict(params, **target_dependencies))
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/albumentations/augmentations/crops/transforms.py", line 48, in apply
return F.random_crop(img, self.height, self.width, h_start, w_start)
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/albumentations/augmentations/crops/functional.py", line 28, in random_crop
crop_height=crop_height, crop_width=crop_width, height=height, width=width
ValueError: Requested crop size (512, 512) is larger than the image size (384, 384)
Traceback (most recent call last):
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/torch/distributed/launch.py", line 260, in
main()
File "/home/yujianzhi/anaconda3/envs/CStar/lib/python3.7/site-packages/torch/distributed/launch.py", line 256, in main
cmd=cmd)
subprocess.CalledProcessError: Command '['/home/yujianzhi/anaconda3/envs/CStar/bin/python', '-u', './train_sup_change.py', '--local_rank=0', '--config_path=levircd.r50_farseg_changestar_bisup', '--model_dir=./log/bisup-LEVIRCD/r50_farseg_changestar']' returned non-zero exit status 1.

it says： ValueError: Requested crop size (512, 512) is larger than the image size (384, 384)
but my img is 512*512 exactly.

Hello,I have a question about PCC:

PCC is mentioned in the paper. After obtaining the classification result through the segmentation model, how to obtain the change detection result through the classification result? Is it a direct subtraction?