百度云盘的两个链接一个是checkpoint，一个是SavedModel。你用的是哪一个呀？

from facial-landmark-detection-hrnet.

SavedModel那一个。

from facial-landmark-detection-hrnet.

可以列出pb文件的完整路径吗？有可能是路径的问题。

from facial-landmark-detection-hrnet.

Construct a face detector.

detector_face = Detector('assets/face_model/saved_model.pb')

# Restore the model.
model = tf.keras.models.load_model("./exported/hrnetv2")

谢谢您的回复，但是我不确定是将下载的模型放到哪句代码中。

from facial-landmark-detection-hrnet.

我以刚才的代码运行后，出现这种情况。
Traceback (most recent call last):
File "C:/Users/RPPG/Desktop/pyCode/facial-landmark-detection-hrnet-master/predict.py", line 34, in
detector_face = Detector('assets/face_model/saved_model.pb')
File "C:\Users\RPPG\Desktop\pyCode\facial-landmark-detection-hrnet-master\face_detector\detector.py", line 33, in init
imported = tf.saved_model.load(saved_model)
File "C:\Users\RPPG\Anaconda3\envs\ippg\lib\site-packages\tensorflow\python\saved_model\load.py", line 859, in load
return load_internal(export_dir, tags, options)["root"]
File "C:\Users\RPPG\Anaconda3\envs\ippg\lib\site-packages\tensorflow\python\saved_model\load.py", line 871, in load_internal
loader_impl.parse_saved_model_with_debug_info(export_dir))
File "C:\Users\RPPG\Anaconda3\envs\ippg\lib\site-packages\tensorflow\python\saved_model\loader_impl.py", line 56, in parse_saved_model_with_debug_info
saved_model = _parse_saved_model(export_dir)
File "C:\Users\RPPG\Anaconda3\envs\ippg\lib\site-packages\tensorflow\python\saved_model\loader_impl.py", line 111, in parse_saved_model
raise IOError("SavedModel file does not exist at: %s/{%s|%s}" %
OSError: SavedModel file does not exist at: assets/face_model/saved_model.pb/{saved_model.pbtxt|saved_model.pb}

Process finished with exit code 1

而且从github上下载代码后，我将asset文件中的原本的模型和变量改成的百度云盘中的模型和变量，不知道这样的操作是否正确。

from facial-landmark-detection-hrnet.

GitHub上下载的代码先不做任何改动。留意这行代码：

model = tf.keras.models.load_model("./exported/hrnetv2")

其中暗含了SavedModel应该存放的位置。你可以把这里的相对路径改为你计算机上的绝对路径。

我留意到你使用的应该是Windows操作系统，注意它的路径表述与Linux不同。所以你可能还需要把检测器加载的文件路径也检查一下：

detector_face = Detector('assets/face_model/saved_model.pb')

from facial-landmark-detection-hrnet.

在使用绝对路径后，还是会报错，跟之前的错误是一样的。
File "C:/Users/RPPG/Desktop/pyCode/landmark/predict.py", line 34, in
detector_face = Detector('assets/face_model/saved_model')
File "C:\Users\RPPG\Desktop\pyCode\landmark\face_detector\detector.py", line 33, in init
imported = tf.saved_model.load(saved_model)
File "C:\Users\RPPG\Anaconda3\envs\ippg\lib\site-packages\tensorflow\python\saved_model\load.py", line 859, in load
return load_internal(export_dir, tags, options)["root"]
File "C:\Users\RPPG\Anaconda3\envs\ippg\lib\site-packages\tensorflow\python\saved_model\load.py", line 871, in load_internal
loader_impl.parse_saved_model_with_debug_info(export_dir))
File "C:\Users\RPPG\Anaconda3\envs\ippg\lib\site-packages\tensorflow\python\saved_model\loader_impl.py", line 56, in parse_saved_model_with_debug_info
saved_model = _parse_saved_model(export_dir)
File "C:\Users\RPPG\Anaconda3\envs\ippg\lib\site-packages\tensorflow\python\saved_model\loader_impl.py", line 111, in parse_saved_model
raise IOError("SavedModel file does not exist at: %s/{%s|%s}" %
OSError: SavedModel file does not exist at: assets/face_model/saved_model/{saved_model.pbtxt|saved_model.pb}

Process finished with exit code 1

在网上查询错误原因后，将tensorflow改成了gpu版本，也是不对的。

我所有的错做过程如下：
在github上下载源代码。然后在github上下载models文件夹和face-detector文件夹所需要的代码。然后在百度云盘下载提供的已经训练好的model。
detector_face = Detector('assets/face_model/saved_model.pb')
这里使用的是原文件所提供的model路径
model = tf.keras.models.load_model("./exported/hrnetv2")
这里使用了从百度云盘所使用的model路径

真的很感谢您能在百忙之中回复我的信息。

from facial-landmark-detection-hrnet.

非常感谢，我重新下载了一遍代码之后问题解决了，谢谢

from facial-landmark-detection-hrnet.

客气了。有时间的话可以学习一下Git，这样遇到的问题会少很多。

from facial-landmark-detection-hrnet.

hi ,really sorry to disturb you but i have already downloaded from baidu cloud disk but cannot find "model.pbtxt|saved_model.pb"

from facial-landmark-detection-hrnet.

from facial-landmark-detection-hrnet.

@anil-bit Please download the checkpoint file from GoogleDrive.

from facial-landmark-detection-hrnet.

谢谢你

from facial-landmark-detection-hrnet.

谢谢你

😃

from facial-landmark-detection-hrnet.

from facial-landmark-detection-hrnet.

使用哪一个？

from facial-landmark-detection-hrnet.