From 465b48eb5e8a435e5c81d5576812fabdb41d8255 Mon Sep 17 00:00:00 2001 From: wxywb Date: Fri, 24 Jun 2022 18:48:51 +0800 Subject: [PATCH] improve the readme. Signed-off-by: wxywb --- README.md | 24 ++++++++++++------------ cap.png | Bin 0 -> 9997 bytes tabular.png | Bin 0 -> 109446 bytes 3 files changed, 12 insertions(+), 12 deletions(-) create mode 100644 cap.png create mode 100644 tabular.png diff --git a/README.md b/README.md index cfcbc6a..b496a0e 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# Image Captioning with BLIP +# Image Captioning with ClipCap *author: David Wang* @@ -9,7 +9,7 @@ ## Description -This operator generates the caption with [BLIP](https://arxiv.org/abs/2201.12086) which describes the content of the given image. This is an adaptation from [salesforce/BLIP](https://github.com/salesforce/BLIP). +This operator generates the caption with [ClipCap](https://arxiv.org/abs/2111.09734) which describes the content of the given image. ClipCap uses CLIP encoding as a prefix to the caption, by employing a simple mapping network, and then fine-tunes a language model to generate the image captions. This is an adaptation from [rmokady/CLIP_prefix_caption](https://github.com/rmokady/CLIP_prefix_caption).
@@ -17,17 +17,16 @@ This operator generates the caption with [BLIP](https://arxiv.org/abs/2201.12086 ## Code Example -Load an image from path './animals.jpg' to generate the caption. +Load an image from path './hulk.jpg' to generate the caption. *Write the pipeline in simplified style*: ```python import towhee -towhee.glob('./animals.jpg') \ +towhee.glob('./hulk.jpg') \ .image_decode() \ - .image_captioning.blip(model_name='blip_base') \ - .select() \ + .image_captioning.clipcap(model_name='clipcap_coco') \ .show() ``` result1 @@ -37,9 +36,9 @@ towhee.glob('./animals.jpg') \ ```python import towhee -towhee.glob['path']('./animals.jpg') \ +towhee.glob['path']('./hulk.jpg') \ .image_decode['path', 'img']() \ - .image_captioning.blip['img', 'text'](model_name='blip_base') \ + .image_captioning.clipcap['img', 'text'](model_name='clipcap_coco') \ .select['img', 'text']() \ .show() ``` @@ -54,14 +53,15 @@ towhee.glob['path']('./animals.jpg') \ Create the operator via the following factory method -***blip(model_name)*** +***clipcap(model_name)*** **Parameters:** ​ ***model_name:*** *str* -​ The model name of BLIP. Supported model names: -- blip_base +​ The model name of ClipCap. Supported model names: +- clipcap_coco +- clipcap_conceptual
@@ -74,7 +74,7 @@ An image-text embedding operator takes a [towhee image](link/to/towhee/image/api **Parameters:** -​ ***data:*** *towhee.types.Image (a sub-class of numpy.ndarray)* or *str* +​ ***data:*** *towhee.types.Image (a sub-class of numpy.ndarray)* ​ The image to generate embedding. diff --git a/cap.png b/cap.png new file mode 100644 index 0000000000000000000000000000000000000000..34bfa970bfa8b5fe06cd30549c6f3653c0f9efdd GIT binary patch literal 9997 zcmc(^WmFtX+b%pvkc8mD-Q5W=xVr@i?oM!b3&Dcx;O_1c+=2yyyCrCFcQ{Spe};|2mGG+pD2JpNLH4j zqDs=Dq9jU=c4n5=rXY}1SYk4~M!YnJ|24g|l#~dfn2^k_JnEjf3<6`IziPLH6f`2` zKv1@kB+5I!Z=puwisG33Z%9JI=SOnp?+t~;c~IVj=bqU~2}R$JoR6O$G})P%o10PJ zC%zIYOQTNQ&Rzs<%AA=vY;>2`(3UVvvipOOl>AY$&u<)QdEdW(Ewp$1%tUM}@`+|H zJ)z@?=Sg2&oh0ELN@ze-0ekSaB?cd=i|eGImJbvv)4ny$R}!})G8^9wOIr2Ou`t|? zmPfb$t|-Nu{HslxOiAn>4aZc|kPd`Jqy(3wZzAI0*^9~8S~!ihN{f9(rr_KeDTh`xy7t;J zT?w72{49FQe6Z)&^i_Y$+0&(wwwRG^eJaXk7&@8iWw*kqhtF+qgMoSwx~owqagMjO 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