Comments (4)
hi @Usernamezhx,I'm a new guy,sorry to bother you .i was in the training model when there was a problem:
Path does not exist:data/WIDER/wider_face_train_annot.txt.
i would like to know WIDER directory in addition to WIDER_test,WIDER_train,WIDER_val,what else should i need.
Hope to get your help .thanks a lot!
from face-py-faster-rcnn.
@HaoXiedo
you should pay attention to the Prepare training data and the step 3 . Download the file and put it under the WIDER directory
from face-py-faster-rcnn.
@Usernamezhx thank you very much.I dowmload the file through your csdn blog,it started working!
from face-py-faster-rcnn.
- sys.stdout.write('%.3f ' % ((idx + 1) / len(image_names) * 100)) prints out the progress
- Since there are only two classes for face detection (background and face), we can simply get the score of being a face for a bounding box with cls_ind=1 (0 is for the score of being background).
- You might find the evaluation script of FDDB helpful http://vis-www.cs.umass.edu/fddb/evaluation.tgz
from face-py-faster-rcnn.
Related Issues (20)
- Failing to download Pre-trained Imagenet HOT 1
- cannot download train annotation file for wider face dataset HOT 2
- Train my own data and get the Assertionerror HOT 3
- 自己训练的模型测试时候出错 HOT 1
- Overflow encountered in exp from bbox_transform.py HOT 3
- download the file HOT 1
- AttributeError: 'ProposalLayer' object has no attribute 'param_str' HOT 2
- Replace VGG16 with a series of ResNet HOT 2
- Could not understand the result HOT 1
- 你好,这个性能怎么样? HOT 1
- protobuf version problem
- What kind of fast rcnn version this repo use?
- Nan loss and Some important things for training HOT 2
- 数据集格式问题
- about WIDER/FDDB HOT 2
- Can't clone your repository HOT 1
- The loss in my training is not converge
- What's the mAP score you achieved on wide face dataset?
- 提供DCVnet代码用于测试
- Issues with testing
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