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Open Source Neural Architecture Search Toolbox for Device-aware Image Dense Prediction & Official implementation of ICCV2021 "iNAS: Integral NAS for Device-Aware Salient Object Detection"

License: Other

Python 99.80% Shell 0.20%
low-latency neural-architecture-search salient-object-detection semantic-segmentation

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!python iNAS/train.py -opt options/train/SOD/train_supernet_sod_4gpu_b10_e100_noaug.yml

你好,
图片

Traceback (most recent call last):
File "iNAS/train.py", line 246, in
train_pipeline(root_path)
File "iNAS/train.py", line 145, in train_pipeline
model = build_model(opt)
File "/output/iNAS/iNAS/models/init.py", line 27, in build_model
model = MODEL_REGISTRY.get(opt['model_type'])(opt)
File "/output/iNAS/iNAS/models/oneshot_model.py", line 40, in init
self.load_network(self.supernet, load_path, self.opt['path'].get('strict_load', True), param_key)
File "/output/iNAS/iNAS/models/base_model.py", line 245, in load_network
load_net = load_net[param_key]
KeyError: 'state_dict'
首先这两个文件权重一样吗, 其次 为什么会报这个错呢 按照你的log 文件来弄得

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