wannabeog / mask-rcnn Goto Github PK

Hi,
in the roialignlayer, Currently only supports batchsize 1?

Python 3 treats IndentationErrors as syntax errors

flake8 testing of https://github.com/wannabeOG/Mask-RCNN on Python 3.6.3

$ flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --statistics

./model.py:1255:4: E999 IndentationError: unindent does not match any outer indentation level
   .
   ^
1     E999 IndentationError: unindent does not match any outer indentation level
1

Hi！How to load and train cityscapes dataset? Cityscapes dataset has no bounding box, so how do you train it for detection? thanks.

Could you help me with this problem?

ModuleNotFoundError Traceback (most recent call last)
in ()
17 from config import Config
18 import utils
---> 19 import model as modellib
20 import visualize
21 from model import log

~/cell_seg/Mask-RCNN/codes/model.py in ()
15 import utils
16 import visualize
---> 17 from nms.nms_wrapper import nms
18 from roialign.roi_align.crop_and_resize import CropAndResizeFunction
19

~/cell_seg/Mask-RCNN/codes/nms/nms_wrapper.py in ()
9 from future import print_function
10
---> 11 from nms.pth_nms import pth_nms
12
13

~/cell_seg/Mask-RCNN/codes/nms/pth_nms.py in ()
1 import torch
----> 2 from ._ext import nms
3 import numpy as np
4
5 def pth_nms(dets, thresh):

ModuleNotFoundError: No module named 'nms._ext'

Q1.In compute_loss( ) function, rpn_class_loss = utils.compute_rpn_class_loss(rpn_match, rpn_class_logits), but utils.compute_rpn_class_loss() doesn't exist.
Q2.In model.compute_rpn_class_loss(), you use the original cross-entropy instead. The only use of focal loss is in mask.forward(), but it seemed doesn't work.
Looking for your kind reply. Thanks in advance.

Hi,

I want to know accuracy of your implementation.

I run the coco.py, but have this error:
from ._ext import nms
ModuleNotFoundError: No module named 'nms._ext'

can you solve this error, thanks!

Hi, it seems that GPU_COUNT in config.py doesn't work. Is there any way to multi-gpu training? Thanks!

How to apply data augmentation?

Did you have trained another datasets?How did you do?

Is ''mask_rcnn_coco.pth'' in demo.py your trained model?
Is there a link to download?

the mistake occurs when detecting nothing! The score of background is the highest!

What's your pytorch's version?

Hi! when I run coco.py，it appears the error"IndexError: too many indices for tensor of dimension 1
",I tried to output "gt_class_ids "value and found that its value is positive. Thanks.

Hi, could you please provide a download link of the pre-trained model: resnet50_imagenet.pth?

Undefined names have the potential to raise NameError at runtime.

flake8 testing of https://github.com/wannabeOG/Mask-RCNN on Python 3.7.0

$ flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --statistics

./model.py:828:23: F821 undefined name 'parse_image_meta'
    _, _, window, _ = parse_image_meta(image_meta)
                      ^
./model.py:989:13: F821 undefined name 'one_hot_embedding'
        t = one_hot_embedding(y.data.cpu(), 1+self.num_classes) 
            ^
./model.py:1009:13: F821 undefined name 'one_hot_embedding'
        t = one_hot_embedding(y.data.cpu(), 1+self.num_classes)
            ^
./model.py:1158:22: F821 undefined name 'compute_rpn_class_loss'
    rpn_class_loss = compute_rpn_class_loss(rpn_match, rpn_class_logits)
                     ^
./model.py:1225:18: F821 undefined name 'compose_image_meta'
    image_meta = compose_image_meta(image_id, shape, window, active_class_ids)
                 ^
./model.py:1389:18: F821 undefined name 'mold_image'
        images = mold_image(image.astype(np.float32), self.config)
                 ^
./model.py:1996:28: F821 undefined name 'mold_image'
            molded_image = mold_image(molded_image, self.config)
                           ^
./model.py:1998:26: F821 undefined name 'compose_image_meta'
            image_meta = compose_image_meta(
                         ^
8     F821 undefined name 'parse_image_meta'
8