From 55f4502b6de3241f1ecb78d01088d498fdec22da Mon Sep 17 00:00:00 2001
From: liuxingyu <lxy17@foxmail.com>
Date: Thu, 10 Nov 2022 16:33:09 +0800
Subject: [PATCH] upd yolox link
---
README.md | 2 +-
core/gdrn_modeling/engine/gdrn_evaluator.py | 2 --
2 files changed, 1 insertion(+), 3 deletions(-)
diff --git a/README.md b/README.md
index 69eccea..b1cc15d 100644
--- a/README.md
+++ b/README.md
@@ -47,7 +47,7 @@ We adopt yolox as the detection method. We used stronger data augmentation and r
### Training
-Download the pretrained model at [Onedrive](https://mailstsinghuaeducn-my.sharepoint.com/:f:/g/personal/liuxy21_mails_tsinghua_edu_cn/EkCTrRfHUZVEtD7eHwLkYSkBCTXlh9ekDteSzK6jM4oo-A?e=6TCh8y) (password: groupji) and put it in the folder `pretrained_models/yolox`. Then use the following command:
+Download the pretrained model at [Onedrive](https://mailstsinghuaeducn-my.sharepoint.com/:f:/g/personal/liuxy21_mails_tsinghua_edu_cn/EkCTrRfHUZVEtD7eHwLkYSkBCTXlh9ekDteSzK6jM4oo-A?e=m0aNCy) (password: groupji) and put it in the folder `pretrained_models/yolox`. Then use the following command:
`./det/yolox/tools/train_yolox.sh <config_path> <gpu_ids> (other args)`
diff --git a/core/gdrn_modeling/engine/gdrn_evaluator.py b/core/gdrn_modeling/engine/gdrn_evaluator.py
index 0704ef0..e1cb318 100644
--- a/core/gdrn_modeling/engine/gdrn_evaluator.py
+++ b/core/gdrn_modeling/engine/gdrn_evaluator.py
@@ -518,8 +518,6 @@ class GDRN_Evaluator(DatasetEvaluator):
net_cfg = cfg.MODEL.POSE_NET
crop_res = net_cfg.OUTPUT_RES
-
-
for _ in range(cfg.TEST.DEPTH_REFINE_ITER):
self.ren.clear()
self.ren.set_cam(K_crop)
--
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