From 16c6152e49ab50ea4998f0a55ab2abc30e722428 Mon Sep 17 00:00:00 2001
From: lyuwenyu <wenyu.lyu@gmail.com>
Date: Sun, 25 Apr 2021 20:13:21 +0800
Subject: [PATCH] using fixed format pretrained link
---
hubconf.py | 32 ++------------------------------
1 file changed, 2 insertions(+), 30 deletions(-)
diff --git a/hubconf.py b/hubconf.py
index 39fe1105f..24973a4aa 100644
--- a/hubconf.py
+++ b/hubconf.py
@@ -32,38 +32,10 @@ from ppcls.modeling.architectures import mobilenet_v3 as _mobilenet_v3
from ppcls.modeling.architectures import resnext as _resnext
-def _load_pretrained_urls():
- '''Load pretrained model parameters url from README.md
- '''
- import re
- import os
- from collections import OrderedDict
-
- readme_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'README.md')
-
- with open(readme_path, 'r') as f:
- lines = f.readlines()
- lines = [lin for lin in lines if lin.strip().startswith('|') and 'Download link' in lin]
-
- urls = OrderedDict()
- for lin in lines:
- try:
- name = re.findall(r'\|(.*?)\|', lin)[0].strip().replace('<br>', '')
- url = re.findall(r'\((.*?)\)', lin)[-1].strip()
- if name in url:
- urls[name] = url
- except:
- pass
-
- return urls
-
-
-_checkpoints = _load_pretrained_urls()
-
def _load_pretrained_parameters(model, name):
- assert name in _checkpoints, 'Not provide {} pretrained model.'.format(name)
- path = paddle.utils.download.get_weights_path_from_url(_checkpoints[name])
+ url = 'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/{}_pretrained.pdparams'.format(name)
+ path = paddle.utils.download.get_weights_path_from_url(url)
model.set_state_dict(paddle.load(path))
return model