Add Image Processors #19796
sgugger
approved these changes
on 2022-10-21
sgugger
approved these changes
on 2022-10-27
Add CLIP image processor
4001aaee
Crop size as dict too
92d9aa9d
Update warning
5e528971
Actually use logger this time
97c17665
Normalize doesn't change dtype of input
0303a2ea
Add perceiver image processor
bd561ae5
Tidy up
c84b7cc7
Add DPT image processor
4179a4e4
Add Vilt image processor
6aae868b
Tidy up
df2dbe0d
Add poolformer image processor
0c52c17f
Tidy up
39a6983c
Add LayoutLM v2 and v3 imsge processors
b0b478e8
Tidy up
00717f09
Add Flava image processor
9473a97d
Tidy up
4208d0f7
Add deit image processor
286d9881
Tidy up
99aef044
Add ConvNext image processor
5b78530e
Tidy up
202e03fd
Add levit image processor
d3243db1
Add segformer image processor
7f10e96c
Add in post processing
a3155994
Fix up
b929deda
Add ImageGPT image processor
dd07d9dc
Fixup
b25764c8
Add mobilevit image processor
a5723eec
Tidy up
97f82004
Add postprocessing
09d33e57
Fixup
afdbf8e9
Add VideoMAE image processor
14fc9210
Tidy up
5af434e2
Add ImageGPT image processor
37310027
Fixup
3c774fad
Add ViT image processor
841fc4c5
Tidy up
e73497d6
Add beit image processor
ba7aa781
Add mobilevit image processor
a63585e2
Tidy up
d9f0da10
Add postprocessing
7b319982
Fixup
94f93e8e
Fix up
6fd41b64
Fix flava and remove tree module
f408fe2c
Fix image classification pipeline failing tests
893cc35d
Update feature extractor in trainer scripts
98c9aea8
Update pad_if_smaller to accept tuple and int size
06584f84
Update for image segmentation pipeline
7d2038e1
Update src/transformers/models/perceiver/image_processing_perceiver.py
4d020444
Update src/transformers/image_processing_utils.py
e6e041fe
Update src/transformers/models/beit/image_processing_beit.py
5cf743e5
PR comments - docstrings; remove accidentally added resize; var names
0cbdfda0
Update docstrings
8d70f4e4
Add exception if size is not in the right format
2730aecc
Fix exception check
11c17b09
Fix up
2eacdbe0
Use shortest_edge in tuple in script
9751b735
Assignees
No one assigned
Login to write a write a comment.
Login via GitHub