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fixed #231 #291 MacOS compatibility #368

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fixed #231 #291 MacOS compatibility #368

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bd01f60
Blip diffusion first cut (#319)
dxli94 May 23, 2023
794d352
Update README.md
dxli94 May 24, 2023
2cc67e1
Update README.md
dxli94 May 25, 2023
e846c8f
Update README.md
dxli94 May 25, 2023
b38a7ac
fix gqa post-processing
May 25, 2023
59273f6
Merge branch 'main' of github.com:salesforce/LAVIS into main
May 25, 2023
8f6d3ab
fixed #231 #291 MacOS compatibility
piterand Jun 15, 2023
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6 changes: 3 additions & 3 deletions lavis/tasks/vqa.py
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Original file line number Diff line number Diff line change
Expand Up @@ -209,9 +209,9 @@ def _report_metrics(self, result_file, split):
gt_ans = res["gt_ans"]
pred = res["pred_ans"]

if self.inference_method == "generate":
pred = vqa_tool.processPunctuation(pred)
pred = vqa_tool.processDigitArticle(pred)
# if self.inference_method == "generate":
pred = vqa_tool.processPunctuation(pred)
pred = vqa_tool.processDigitArticle(pred)

vqa_acc = 1 if pred == gt_ans else 0

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8 changes: 8 additions & 0 deletions projects/blip-diffusion/README.md
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@@ -0,0 +1,8 @@
## BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
[Paper](https://arxiv.org/abs/2305.14720), [Demo Site](https://dxli94.github.io/BLIP-Diffusion-website/), [Video](https://youtu.be/Wf09s4JnDb0)

This repo will host the official implementation of BLIP-Diffusion, a text-to-image diffusion model with built-in support for multimodal subject-and-text condition. BLIP-Diffusion enables zero-shot subject-driven generation, and efficient fine-tuning for customized subjects with up to 20x speedup. In addition, BLIP-Diffusion can be flexibly combiend with ControlNet and prompt-to-prompt to enable novel subject-driven generation and editing applications.

<img src="teaser-website.png" width="800">

Implementations are coming soon.
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3 changes: 2 additions & 1 deletion requirements.txt
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@@ -1,5 +1,6 @@
contexttimer
decord
decord; platform_system != "Darwin"
eva-decord; platform_system == "Darwin"
einops>=0.4.1
fairscale==0.4.4
ftfy
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