mmdeploy/configs/mmpose/pose-detection_ncnn-int8_static-256x256.py

_base_ = ['./pose-detection_static.py', '../_base_/backends/ncnn-int8.py']

onnx_config = dict(input_shape=[256, 256])
[Feature] Add mmpose configs for compatibility with Hourglass model in ncnn backend (#1064) * [FEATURE] add mmpose configs for compatibility with Hourglass model [Motivation] - The added configs are aim to support Hourglass pose-detection model in ncnn backend. - Hourglass model needs explicit input shape with 256x256 or 384x384. - Hourglass model can be quantitized to int8 successfully in ncnn backend. [Complementary] The mmpose config of Hourglass mode is in: - https://github.com/open-mmlab/mmpose/blob/master/configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/hourglass52_coco_256x256.py - https://github.com/open-mmlab/mmpose/blob/master/configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/hourglass52_coco_384x384.py Quantitization results are shown in https://github.com/Qingrenn/mmdeploy-summer-camp/blob/main/week4/result.md * Keep only one config (pose-detection_ncnn-int8_static-256x256.py) and remove the others. 2022-09-19 14:13:55 +08:00			`_base_ = ['./pose-detection_static.py', '../_base_/backends/ncnn-int8.py']`

			`onnx_config = dict(input_shape=[256, 256])`