From 85d07be6edc50780fbff661816ec90ccdd380875 Mon Sep 17 00:00:00 2001 From: wxywb Date: Wed, 19 Oct 2022 16:27:20 +0800 Subject: [PATCH] update the image for expansionnet_v2. Signed-off-by: wxywb --- README.md | 78 ++++++++++++++++++++++++++++++++++++++++++++- cap.png | Bin 0 -> 10419 bytes expansionnet_v2.py | 9 +++++- tabular.png | Bin 0 -> 92721 bytes 4 files changed, 85 insertions(+), 2 deletions(-) create mode 100644 cap.png create mode 100644 tabular.png diff --git a/README.md b/README.md index 3e6481c..5c88350 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,78 @@ -# expansionnet-v2 +# Image Captioning with ExpansionNet v2 +*author: David Wang* + + +
+ + +## Description + +This operator generates the caption with [ExpansionNet v2](https://arxiv.org/abs/2208.06551) which describes the content of the given image. ExpansionNet v2 introduces the Block Static Expansion which distributes and processes the input over a heterogeneous and arbitrarily big collection of sequences characterized by a different length compared to the input one. This is an adaptation from [jchenghu/ExpansionNet_v2](https://github.com/jchenghu/expansionnet_v2). + + +
+ + +## Code Example + +Load an image from path './image.jpg' to generate the caption. + + *Write the pipeline in simplified style*: + +```python +import towhee + +towhee.glob('./image.jpg') \ + .image_decode() \ + .image_captioning.expansionnet_v2(model_name='expansionnet_rf') \ + .show() +``` +result1 + +*Write a same pipeline with explicit inputs/outputs name specifications:* + +```python +import towhee + +towhee.glob['path']('./image.jpg') \ + .image_decode['path', 'img']() \ + .image_captioning.expansionnet_v2['img', 'text'](model_name='expansionnet_rf') \ + .select['img', 'text']() \ + .show() +``` +result2 + + +
+ + +## Factory Constructor + +Create the operator via the following factory method + +***expansionnet_v2(model_name)*** + +**Parameters:** + +​ ***model_name:*** *str* + +​ The model name of ExpansionNet v2. Supported model names: +- expansionnet_rf + +
+ +## Interface + +An image captioning operator takes a [towhee image](link/to/towhee/image/api/doc) as input and generate the correspoing caption. + + +**Parameters:** + +​ ***data:*** *towhee.types.Image (a sub-class of numpy.ndarray)* + +​ The image to generate caption. + +**Returns:** *str* + +​ The caption generated by model. diff --git a/cap.png b/cap.png new file mode 100644 index 0000000000000000000000000000000000000000..ea2e572b8c1c9e37c48f49e55a02d3e4422e4caf GIT binary patch literal 10419 zcma)fbzD@>*Z%^GfPj>gq%_hXv9NT5goJc=E3trd34(Nok|NzKDcz0K(nurSwZOCb z@f*M2^Urf%Gk509%=?@(XU?2^?nhN+S?tHp9s>XXYcshEzSLbAD zWo5~Dn}{k_oX(iInKcJkS2!_$_p`mElDUxe2ai7hOVuAI>-5T*S%{DCvDnVx13Q(Y zgdNjNMncOy=-x zIX~Q;8D!9n?Zb!hj=WC`FqU=VQS}P2eVP3wadb4;ciV`%Ne*a=0nqKFMmv%QBbi$q zbUM2*vNT{-QPd<$e7FW2o>6&Q-VgiT`1?_ExcF=C{vwFPt<+EJOuzR_+VoR&jLH%H zfNif4%Sxl%;H%v^KO0Y*_$p-KxqNig>*;6Cb=p})LI5V|yf8V9+1ws)5ZW{j=kq3X zkLR&5kJzK9;jl)~tbVU8(1>6Ral*@^kQF?$?qn;wfwqwLxm`3mpb z(DGyF3{`x}l9T8StGY(_z=@p 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