From 06ef42a7e0431fd56d80db25cb48d97fc5234abe Mon Sep 17 00:00:00 2001 From: Jael Gu Date: Mon, 30 Jan 2023 16:25:36 +0800 Subject: [PATCH] Update for new pipe Signed-off-by: Jael Gu --- README.md | 45 ++++++++++++++++++++++++--------------------- result.png | Bin 0 -> 276124 bytes results1.png | Bin 18504 -> 0 bytes results2.png | Bin 390480 -> 0 bytes 4 files changed, 24 insertions(+), 21 deletions(-) create mode 100644 result.png delete mode 100644 results1.png delete mode 100644 results2.png diff --git a/README.md b/README.md index 8a698d8..be7853b 100644 --- a/README.md +++ b/README.md @@ -22,37 +22,40 @@ This operator uses [PyTorch.yolov5](https://pytorch.org/hub/ultralytics_yolov5/) ### Code Example +Load an image from path './test.png' and use yolov5 model to detect objects in the image. +*Write a same pipeline with explicit inputs/outputs name specifications:* -- Write the pipeline in the simplified way: - +- **option 1: towhee>=0.9.0** ```Python -import towhee - -towhee.glob('./test.png') \ - .image_decode() \ - .object_detection.yolov5() \ - .show() -``` +from towhee.dc2 import pipe, ops, DataCollection -results1 +p = ( + pipe.input('path') + .map('path', 'img', ops.image_decode()) + .map('img', ('box', 'class', 'score'), ops.object_detection.yolov5()) + .map(('img', 'box'), 'object', ops.image_crop(clamp=True)) + .output('img', 'object', 'class') +) -- Write the same pipeline with explicitly specified inputs and outputs: +DataCollection(p('./test.png')).show() +``` -```Python +- **option 2:** +```python import towhee -towhee.glob['path']('./test.png') \ - .image_decode['path','img']() \ - .object_detection.yolov5['img', ('box', 'class', 'score')]() \ - .image_crop[('img', 'box'), 'object'](clamp = True) \ - .select['img','object']() \ - .show() +( + towhee.glob['path']('./test.png') + .image_decode['path','img']() + .object_detection.yolov5['img', ('box', 'class', 'score')]() + .image_crop[('img', 'box'), 'object'](clamp = True) + .select['img','object', 'class']() + .show() +) ``` -results1 - - +result
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