From 5e231c348a1e9860e9607e660229288bd5e11dbe Mon Sep 17 00:00:00 2001 From: shiyu22 Date: Thu, 9 Dec 2021 18:28:08 +0800 Subject: [PATCH] Update Signed-off-by: shiyu22 --- README.md | 37 +++++++------------------------ {pic => readme_res}/pipeline.png | Bin test_data/test.jpg | Bin 182750 -> 0 bytes test_image_embedding_resnet50.py | 18 --------------- 4 files changed, 8 insertions(+), 47 deletions(-) rename {pic => readme_res}/pipeline.png (100%) delete mode 100755 test_data/test.jpg delete mode 100644 test_image_embedding_resnet50.py diff --git a/README.md b/README.md index 553a48b..2b9df0d 100644 --- a/README.md +++ b/README.md @@ -6,32 +6,19 @@ Authors: derekdqc, shiyu22 This pipeline is used to **extract the feature vector of the image**. First step is to normalize the image, and then use resnet50 model to generate the vector. -The pipeline parses [the yaml file](./image_embedding_resnet50.yaml), which declares some components we call **Operator** and **DataFrame**. Next, we will introduce the interface, show how to use it and how it works, have fun with it! - ## Interface -`towhee.pipeline(task: str, fmc: FileManagerConfig = FileManagerConfig(), branch: str = 'main', force_download: bool = False)` [\[source\]](https://github.com/towhee-io/towhee/blob/main/towhee/__init__.py) - -**params:** - -- **task**(str): task name or pipeline repo name. -- **fmc**(FileManagerConfig): optional, file manager config for the local instance, default is a default FileManagerConfig obejct. -- **branch**(str): optional, which branch to use for operators/pipelines on hub, defaults to 'main'. -- **force_download**(bool): optional, whether to redownload pipeline and operators, default is False. - -**return:** - -- **_PipelineWrapper**, an instance of the wrapper class around `Pipeline`. +**Args:** -When we declare a pipeline object with a specific task, such as `towhee/image-embedding-resnet50` in this repo, it will run according to the Yaml file, and the input and output are: +- img_tensor(`PIL.Image`), -**inputs:** + The image to be encoded. -- **img_tensor**(PIL.Image), the image to be encoded. +**Returns:** -**outputs:** +- (`Tuple[('cnn', numpy.ndarray)]`) -- **cnn**(numpy.ndarray), the embedding of the image. + The embedding of the image. ## How to use @@ -56,14 +43,6 @@ $ pip3 install towhee ## How it works -First of all, you need to learn the pipeline and operator in Towhee architecture: - -- **Pipeline**: A `Pipeline` is a single machine learning task that is composed of several operators. Operators are connected together internally via a directed acyclic graph. - -- **Operator**: An `Operator` is a single node within a pipeline. It contains files (e.g. code, configs, models, etc...) and works for reusable operations (e.g., preprocessing an image, inference with a pretrained model). - -This pipeline includes four functions: `_start_op`, `towhee/transform-image`, `towhee/resnet50-image-embedding` and `_end_op`. It is necessary to ensure that the input and output of the four Operators correspond to each other, and the input and output data types can be defined by DataFrame. - -![img](./pic/pipeline.png) +You can learn the pipeline and operator in [Towhee architecture](https://github.com/towhee-io/towhee#towhee-architecture). This pipeline includes two main functions: [towhee/transform-image](https://hub.towhee.io/towhee/transform-image) and [towhee/resnet50-image-embedding](https://hub.towhee.io/towhee/resnet50-image-embedding). It is necessary to ensure that the input and output of the four Operators correspond to each other, and the input and output data types can be defined by DataFrame. -Among the four Operator, `_start_op` and `_end_op` are required in any Pipeline, and they are used to start and end the pipeline in the Towhee system. For the other two Operators, please refer to [towhee/transform-image](https://hub.towhee.io/towhee/transform-image) and [towhee/resnet50-image-embedding](https://hub.towhee.io/towhee/resnet50-image-embedding). +![img](./readme_res/pipeline.png) diff --git a/pic/pipeline.png b/readme_res/pipeline.png similarity index 100% rename from pic/pipeline.png rename to readme_res/pipeline.png diff --git a/test_data/test.jpg b/test_data/test.jpg deleted file mode 100755 index 8fdc2b38268ae877bf8a04c5054126fb507256d7..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 182750 zcmb5UcT^M48$P<}g%(1QB1j2Ux&i`2^<3e01i2{eR%%=5(o@I zAW;Ae4n=bu7BIp9VBqixp%6F>0)c`cu)_jS7%u?FN+Q$=)<`}nXN>?le@b4(yLFU+ zG?7i7|0#IF@k0;)bM*ha0f0k0hfM{bFckXmz9H}7h5z}1 z!ogq=6a+$nz`OtiDhb1?6W|DIXFjO_`k|9`B)Javf>P<l+R^YyF=A+hXS`spqLSDVO$`dE475H$nA+i)uG;Pc;m^ zNhLCZYW_%`Z!-8Pzl0jJ5KFZCxQ4CC-88)6NMcw2gWt(IG22sc!`k0FL`^iYc(?+O?BTI!!hZ%3=zJvsiT={&#C5j_xHAYa2fw8A#!eP#I{@N_2R{O4F 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-if __name__ == '__main__': - unittest.main()