Tramac / Lightweight-Segmentation

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

Tramac/Lightweight-Segmentation Issues

Some questions concerning MobileNetV3+LR-ASPP
Updated a year ago2
Shortcut in MobileNetV3 segmentation head
Updated a year ago1
RuntimeError: Given input size: (576x27x27). Calculated output size: (576x-1x-1). Output size is too small
Updated 2 years ago6
to onnx
Closed 2 years ago1
AttributeError: 'tuple' object has no attribute 'log_softmax'
Updated 3 years ago
Your pretrained models are unavaliable in the GoogleDrive link
Updated 4 years ago2
Why the result for mobileNet v3 small/large is significantly worse than those reported in the paper
Updated 4 years ago1
About mobilenetv3seg output and form of ground truth
Updated 4 years ago
data preprocessing
Updated 4 years ago
mobilenetv3 backbone
Updated 4 years ago
lr_scheduler error while training
Closed 4 years ago2
could this eval by CPU?
Closed 4 years ago1
我想知道验证的时候如何获取对应的图片名称？我一直获取不到
Updated 4 years ago2
Instance sematic segmentation
Closed 5 years ago1
TypeError: object of type 'COCOSegmentation' has no len()
Closed 5 years ago1
wrong inter_channels in mobilenetv3_seg.py
Updated 5 years ago
mobileNet_0.25
Closed 5 years ago1
How to train for another dataset?
Closed 5 years ago1
Suggest to add demo.py as your another repo
Closed 5 years ago1
Will you implement the DFANet?
Closed 5 years ago2
GoogleDrive link is not work
Closed 5 years ago1
suggest
Closed 5 years ago3