scouly / muscle Goto Github PK

hi,

打扰您了，我想知道这三个权重之间的区别:MuSCL-b7_63.35_66.6.pth,MCL_55.35_58.5.pth,IRN_pretrained.pth之间的区别。

同时我想知道在运行python infer_mcl.py 之后生成的cam是npy的格式，要如何进行可视化呢。

谢谢！

在运行infer_seg.py文件时，发生错误：RuntimeError: unexpected EOF, expected 4643038 more bytes. The file might be corrupted.
显示权重文件好像损坏了，是我这边下载的有问题吗

File "/home/lcl/ToCo-main/MuSCLe-main/train_mcl.py", line 17, in
from src.loss_multilabel import *
File "/home/lcl/ToCo-main/MuSCLe-main/src/loss_multilabel.py", line 6, in
from qpth.qp import QPFunction
ModuleNotFoundError: No module named 'qpth'

Traceback (most recent call last):
File "/home/lcl/MuSCLe-main/train_mcl.py", line 18, in
from src.MuSCLe import *
File "/home/lcl/MuSCLe-main/src/MuSCLe.py", line 6, in
from src.edge import *
File "/home/lcl/MuSCLe-main/src/edge.py", line 10, in
from EffSeg import *
ModuleNotFoundError: No module named 'EffSeg'

--infer_list PATH_TO_INFER_LIST
中PATH_TO_INFER_LIST应该是什么呀

Using MCL_55.15_58.5.pth as the weight, run the max miou:42.71176333180985 obtained by train_mcl.py?
The max miou in the paper is 58.4?

Traceback (most recent call last):
File "/home/lcl/MuSCLe-main/train_mcl.py", line 155, in
for iter, pack in enumerate(train_data_loader):
File "/home/lcl/anaconda3/envs/muscle1/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 633, in next
data = self._next_data()
File "/home/lcl/anaconda3/envs/muscle1/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1345, in _next_data
return self._process_data(data)
File "/home/lcl/anaconda3/envs/muscle1/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1371, in _process_data
data.reraise()
File "/home/lcl/anaconda3/envs/muscle1/lib/python3.8/site-packages/torch/_utils.py", line 644, in reraise
raise exception
FileNotFoundError: Caught FileNotFoundError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/home/lcl/anaconda3/envs/muscle1/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 308, in _worker_loop
data = fetcher.fetch(index)
File "/home/lcl/anaconda3/envs/muscle1/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 51, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/lcl/anaconda3/envs/muscle1/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 51, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/lcl/MuSCLe-main/src/data.py", line 327, in getitem
name, img, view1, view2, coord1, coord2, ori_coord = super().getitem(idx)
File "/home/lcl/MuSCLe-main/src/data.py", line 310, in getitem
img = PIL.Image.open(get_img_path(name, self.voc12_root)).convert("RGB")
File "/home/lcl/anaconda3/envs/muscle1/lib/python3.8/site-packages/PIL/Image.py", line 2975, in open
fp = builtins.open(filename, "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'data/JPEGImages/2008_008212.jpg'

论文中公式2和代码是不是不太一样