issues
search
facebookresearch
/
ov-seg
This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.
Other
675
stars
61
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
custom data
#33
KingWonHO
opened
4 weeks ago
0
ValueError: not enough values to unpack (expected 3, got 2)
#32
1106HaNa
opened
2 months ago
0
Per-pixel feature extraction
#31
soumajm
opened
5 months ago
0
Customer dataset error: ValueError: not enough values to unpack (expected 3, got 2)
#30
JiayuanWang-JW
opened
7 months ago
0
Can you provide the code of incorperating OVSeg CLIP w/ Segment_Anything?
#29
SnailForce
opened
7 months ago
0
During the fine-tuning of CLIP, is the mask used generated by the previous segmentation model (with the original CLIP)?
#28
vmmm123
closed
8 months ago
3
How can we access the pre-trained models？
#27
tanbuzheng
opened
8 months ago
0
About train on other datasets
#26
Zetianuser
closed
9 months ago
2
Details about using SAM
#25
ChunmengLiu1
closed
9 months ago
2
The issue with the dataset during the training process.
#24
jixiaofeng123
opened
10 months ago
1
Update adapter.py
#23
lartpang
opened
11 months ago
5
demo.py
#22
jixiaofeng123
closed
11 months ago
1
SAM+Mask_adapted CLIP
#21
iisxuwei
closed
11 months ago
1
Reproducing the results of baseline w/ original CLIP
#20
zifuwan
closed
11 months ago
1
Finetuning CLIP
#19
BKINGING
closed
11 months ago
1
Why can't support 'CLIP_ENSEMBLE_WEIGHT > 0' using 'R101c + CLIP-ViT-B/16' in demo.py
#18
Pixie8888
closed
11 months ago
3
swin_base_patch4_window12_384_22k.pkl
#17
joinusers
closed
1 year ago
3
PATH_TO_MASKADAPTED_CLIP
#16
yuanpengtu
closed
1 year ago
3
Release under a license for commercial use?
#15
rfan-debug
closed
1 year ago
2
Download data error!
#14
shipengai
closed
1 year ago
1
d2.engine.defaults]: No evaluator found. Use `DefaultTrainer.test(evaluators=)`, or implement its `build_evaluator` method.
#13
Ako-r
closed
1 year ago
2
Use which feature to classify for demo.
#12
synsin0
closed
1 year ago
1
create ONNX for anylabeling
#11
aiyou9
closed
1 year ago
1
model problem
#10
GaoPengGit
closed
1 year ago
1
Loss plots
#9
goncayilmaz
closed
1 year ago
2
FREEZE_AT parameter in config
#8
goncayilmaz
closed
1 year ago
1
Code for generating training data from COCO Captions
#7
shehanmunasinghe
closed
1 year ago
1
CLIP weights?
#6
ngthanhtin
closed
1 year ago
1
Segmentation Problem
#5
ngthanhtin
closed
1 year ago
0
The training process of ovseg
#4
kellyiss
closed
1 year ago
5
The CLIP ViT-B/16 model
#3
gjc0824
closed
1 year ago
5
Where is visual prompt implemented
#2
RuoyuChen10
closed
1 year ago
2
skip key renaming in _load_from_state_dict
#1
blumenstiel
closed
1 year ago
0