Comments (3)
Hi @Archer222arc , thanks for your interest.
To run, you need to first build and install the package, as mentioned in the README:
- install cpp utils:
cd dance/core/layers/extreme_utils && export CUDA_HOME="/usr/local/cuda-10.1" && python setup.py build_ext --inplace
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Thank you for help! The above problems is solved and I have another problem. Since the evaluation relies on "edge.json", I've tried using prepare_edge_map.py
to generate the corresponding json file consisting of edges of COCOval2017
but failed. More specifically, the annotations_val2017.json
's "annotation":[] information does not include "file_name". I'm a new to handle this kind of problem. Could you please give some help? Thank you.
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Hi @Archer222arc , actually, when you run prepare_edge_map.py
, both training and evaluation data will be process (see this line of code. As long as you have the coco train and eval folders correctly, it should generate edge map data for both train and eval set.
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Related Issues (20)
- RuntimeError: stack expects a non-empty TensorList HOT 6
- Can I have a simple training on a graphics card? HOT 1
- how can i use this code on window paltform? HOT 1
- Config file (.yaml) of the basic DsnakeHead. HOT 1
- please help!AssertionError: Attribute 'thing_classes' in the metadata of 'coco_2017_train_edge' cannot be set to a different value! HOT 10
- There have been a problem when I used the prepare_edge_map.py, it prompted that the corresponding picture is missing HOT 1
- About code on coco HOT 2
- Error when running baseline snake HOT 17
- how to train the model with own datasets ? HOT 1
- How can I visualize the prediction of a single image?
- How to get edge_map of SBD? HOT 1
- How to visualize the prediction HOT 4
- 您好,我看了下基于deepsnake的dance模型,在配置文件看来,好像不需要学习预测目标中心点的偏移量? HOT 3
- mmdet version? HOT 1
- Pre-train model with CenterNet Detector HOT 1
- Config of model HOT 2
- the results of Dance HOT 4
- DANCE network in the snake baranch uses COCO dataset to train
- prepare_edge_map_cityscapes.py有着可能的bug
- train or apply to a different dataset HOT 9
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