Comments (8)
Hi, the tech report is available at https://arxiv.org/abs/1611.07709
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Hi,
Is there any ETA on the code release? I am working on modifying DeepMask now for the simple task of auto-cropping, and am pretty unhappy with how slow it is to train and the quality of the results. Would be nice to have the code of this to work with too since I only have a few more weeks to experiment...
-Thanks
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Hi, the arxiv paper would be released quite soon within one week. We are working hard on coding releasing as well, but it would take some time. I cannot promise, but hopefully we can get it done in one month. You can also modify based on R-FCN (https://github.com/daijifeng001/R-FCN).
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I see, thanks.
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Thanks a lot.
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Hi,
Can you tell me the threshold for predicting final results (vis_thresh) ? Is it 0.8 as in R-FCN or 0.5 as in MNC?
Is mask size = 14 as in Inst-FCN?
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@pqviet Hi, we use mask_size=21 in FCIS and vis_thresh=0.7 is used to visualize the result.
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Related Issues (20)
- TypeError: _update_params_on_kvstore() takes exactly 4 arguments (3 given) HOT 1
- there is an error when trained on ResNet-50 model HOT 1
- Index out of bounds error in line 143 of proposal_annotator.py HOT 1
- Some problems encountered when using deconvolution
- mxnet.base.MXNetError: [15:20:32] src/engine/threaded_engine.cc:320: Check failed: device_count_ > 0 (-1 vs. 0) GPU usage requires at least 1 GPU HOT 1
- The result finetune with cityscapes is very poor
- Network structure
- When I train my own coco-like datasets,I successfully train and test the model,but the result of all AP is 0. HOT 5
- If my data is small,such as 6000 images,is it difficult to train the model? HOT 3
- my own data set ,test map is 0
- 有哪位遇到过训练成功,测试map=0的情况吗 HOT 3
- mxnet.base.MXNetError: [16:31:18] src/operator/nn/./cudnn/cudnn_convolution-inl.h:449: Check failed: e == CUDNN_STATUS_SUCCESS (3 vs. 0) cuDNN: CUDNN_STATUS_BAD_PARAM HOT 1
- pip install -r requirements.txt HOT 3
- unable to install ./init.sh error HOT 3
- Problems when launching demo.py
- Is it possible to run FCIS on AMD?
- Trouble building on Windows 10 (TypeError: expected str, bytes or os.PathLike object, not NoneType) HOT 2
- In-depth guide to getting FCIS working on Windows 10 HOT 3
- [HELP] problem with cpu_nms HOT 1
- Result file for COCO test-dev instance segmentation
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