portrait_matting
portrait_matting copied to clipboard
takiyu
training error (seg_tri)
loss graph didn't close.
[2018/12/13 09:22:03.066] INFO (15628) config : Load config from "config.json" [2018/12/13 09:22:03.125] WARNING (15628) datasets.common : no image is valid [2018/12/13 09:22:03.126] INFO (15628) main : Compute weight matrix for each image
i got this one.i don't know where is it error. please tell me
[2018/12/13 09:22:03.066] INFO (15628) config : Load config from "config.json" [2018/12/13 09:22:03.125] WARNING (15628) datasets.common : no image is valid [2018/12/13 09:22:03.126] INFO (15628) main : Compute weight matrix for each image
i got this one.i don't know where is it error. please tell me
you need prepare all dataset first.
[2018/12/13 09:22:03.066] INFO (15628) config : Load config from "config.json" [2018/12/13 09:22:03.125] WARNING (15628) datasets.common : no image is valid [2018/12/13 09:22:03.126] INFO (15628) main : Compute weight matrix for each image i got this one.i don't know where is it error. please tell me
you need prepare all dataset first.
Brother, my three modes of training: $ python scripts/train.py --mode seg $ python scripts/train.py --mode seg+ $ python scripts/train.py --mode seg_tri
The training part looks normal, but the test was very bad and found: Mode=seg Mode=seg+ The test result is a gray picture
Mode = seg_tri The test result is a white picture
My test command is:
$ python scripts/train.py --mode {seg,seg+,seg_tri} --model_path './result/model_best' -i
Can you see where I am using the error? such as:
- Is the model path I loaded correct?
- Like you said W B needs to be changed to standardized initialization
- Testing or training There is a particularly critical detail to note?
If you see a reply, I will be very grateful and happy! @leaf918
@leaf918
In addition, mode=seg_tri training model, my loss curve is almost the same as you. Do you have some new opinions on this now?
[2018/12/13 09:22:03.066] INFO (15628) config : Load config from "config.json" [2018/12/13 09:22:03.125] WARNING (15628) datasets.common : no image is valid [2018/12/13 09:22:03.126] INFO (15628) main : Compute weight matrix for each image i got this one.i don't know where is it error. please tell me
you need prepare all dataset first.
@leaf918, do you know how to generate "img_alpha"?
[2018/12/13 09:22:03.066] INFO (15628) config : Load config from "config.json" [2018/12/13 09:22:03.125] WARNING (15628) datasets.common : no image is valid [2018/12/13 09:22:03.126] INFO (15628) main : Compute weight matrix for each image i got this one.i don't know where is it error. please tell me
you need prepare all dataset first.
@leaf918, do you know how to generate "img_alpha"?
python scripts/prepare_matting_dataset.py --pseudo_alpha
@leaf918
In addition, mode=seg_tri training model, my loss curve is almost the same as you. Do you have some new opinions on this now?
not yet
alembic==1.0.10 asn1crypto==0.24.0 blurhash==1.1.0 boost==0.1 certifi==2019.3.9 cffi==1.12.3 chainer==5.4.0 chainerui==0.9.0 chardet==3.0.4 Click==7.0 cmake==3.13.3 colorama==0.4.1 cryptography==2.6.1 cupy-cuda100==6.0.0 cycler==0.10.0 decorator==4.4.0 dlib==19.9.0 fastrlock==0.4 filelock==3.0.10 Flask==1.0.3 gevent==1.4.0 greenlet==0.4.15 h5py==2.9.0 http-ece==1.1.0 idna==2.8 itsdangerous==1.1.0 Jinja2==2.10.1 kiwisolver==1.1.0 logutils==0.3.5 Mako==1.0.10 MarkupSafe==1.1.1 Mastodon.py==1.4.2 matplotlib==3.1.0 msgpack==0.6.1 numpy==1.16.2 opencv-python==3.4.5.20 Pillow==6.0.0 protobuf==3.7.1 pycparser==2.19 pyparsing==2.4.0 python-dateutil==2.8.0 python-editor==1.0.4 python-magic==0.4.15 pytz==2019.1 rainbow-logging-handler==2.2.2 requests==2.22.0 scipy==1.0.0 six==1.12.0 SQLAlchemy==1.3.3 structlog==19.1.0 typing==3.6.6 typing-extensions==3.7.2 urllib3==1.25.2 Werkzeug==0.15.4
