Toybrick

Tensorflowm模型mtcnn.pb转换RKNN时报错!

zengwubin

中级会员

积分
274
发表于 2020-3-21 15:04:56    查看: 1706|回复: 5 | [复制链接]    打印 | 显示全部楼层

W Verbose file path is invalid, debug info will not dump to file.
--> Loading model...
/home/zengwb/anaconda3/envs/train/lib/python3.6/site-packages/onnx_tf/common/__init__.py:87: UserWarning: FrontendHandler.get_outputs_names is deprecated. It will be removed in future release.. Use node.outputs instead.
  warnings.warn(message)
D import clients finished
I Current TF Model producer version 0 min consumer version 0 bad consumer version []
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I Have 0 tensors convert to const tensor
D Const tensors:
D []
I build output layer attach_prob:out0
I build output layer attach_landmarks:out0
I build output layer attach_box:out0
I build input layer input_out_0_placeholder:out0
D Try match Identity prob
I Match identity [['prob']] [['Identity']] to [['noop']]
D Try match Identity landmarks
I Match identity [['landmarks']] [['Identity']] to [['noop']]
D Try match Identity box
I Match identity [['box']] [['Identity']] to [['noop']]
D Try match Const onet/cond/Const_1
I Match const [['onet/cond/Const_1']] [['C']] to [['variable']]
D Try match Const onet/cond/Const_2
I Match const [['onet/cond/Const_2']] [['C']] to [['variable']]
D Try match Const onet/cond/Const
I Match const [['onet/cond/Const']] [['C']] to [['variable']]
D connect onet/cond/Const_1_7 0  ~ prob_4 0
D connect onet/cond/Const_2_8 0  ~ landmarks_5 0
D connect onet/cond/Const_9 0  ~ box_6 0
D connect prob_4 0  ~ attach_prob/out0_0 0
D connect landmarks_5 0  ~ attach_landmarks/out0_1 0
D connect box_6 0  ~ attach_box/out0_2 0
2020-03-21 14:57:16.144823: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
D Process onet/cond/Const_1_7 ...
D RKNN output shape(variable): (0)
D Process prob_4 ...
D RKNN output shape(noop): (0)
D Process attach_prob/out0_0 ...
D RKNN output shape(output): (0)
D Process onet/cond/Const_2_8 ...
D RKNN output shape(variable): (0 10)
D Process landmarks_5 ...
D RKNN output shape(noop): (0 10)
D Process attach_landmarks/out0_1 ...
D RKNN output shape(output): (0 10)
D Process onet/cond/Const_9 ...
D RKNN output shape(variable): (0 4)
D Process box_6 ...
D RKNN output shape(noop): (0 4)
D Process attach_box/out0_2 ...
D RKNN output shape(output): (0 4)
I Build mtcnn_1.12 complete.
D Remove attach_input/out0_3.
D Remove prob_4.
D Remove landmarks_5.
D Remove box_6.
D Optimizing network with force_1d_tensor, swapper, merge_layer, auto_fill_bn, resize_nearest_transformer, auto_fill_multiply, merge_avgpool_conv1x1, auto_fill_zero_bias, proposal_opt_import
D Optimizing network with conv2d_big_kernel_size_transform
D Optimizing network with auto_fill_zero_bias, auto_fill_tf_quantize, align_quantize, broadcast_quantize, qnt_adjust_coef
done
--> Build RKNN model...
W Genreate input meta fail, please check model.
W External input meta file "/tmp/tmp806r8d3r/mtcnn_112_inputmeta.yml" is not exists.
Traceback (most recent call last):
  File "rknn_convert.py", line 89, in <module>
    convert_model(model_path, out_path, pre_compile)
  File "rknn_convert.py", line 72, in convert_model
    rknn.build(do_quantization=model['quantize'], dataset=dataset_path, pre_compile=pre_compile)
  File "/home/zengwb/anaconda3/envs/train/lib/python3.6/site-packages/rknn/api/rknn.py", line 238, in build
    ret = self.rknn_base.build(do_quantization=do_quantization, dataset=dataset, pack_vdata=pre_compile, batch_size=rknn_batch_size)
  File "rknn/api/rknn_base.py", line 719, in rknn.api.rknn_base.RKNNBase.build
  File "rknn/api/rknn_base.py", line 2249, in rknn.api.rknn_base.RKNNBase._generate_inputmeta

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jefferyzhang

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发表于 2020-3-21 23:06:40 | 显示全部楼层
论坛直播教程就有mtcnn的转换 ,在置顶整合贴里可以找到
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zengwubin

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 楼主| 发表于 2020-3-23 14:40:52 | 显示全部楼层
jefferyzhang 发表于 2020-3-21 23:06
论坛直播教程就有mtcnn的转换 ,在置顶整合贴里可以找到

你好,我是在mtcnn直播教程项目展望里使用https://github.com/blaueck/tf-mtcnn 将三个模型融合在一起,减少与npu的交互时间。带的mtcnn.pb转换报错,方法都是对的就是会报错,你看下
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hiCrystal

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发表于 2021-9-2 17:32:18 | 显示全部楼层
zengwubin 发表于 2020-3-23 14:40
你好,我是在mtcnn直播教程项目展望里使用https://github.com/blaueck/tf-mtcnn 将三个模型融合在一起, ...

问题解决了吗?可以转换成功吗?
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ameRk

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发表于 2022-6-18 20:00:49 | 显示全部楼层
zengwubin 发表于 2020-3-23 14:40
你好,我是在mtcnn直播教程项目展望里使用https://github.com/blaueck/tf-mtcnn 将三个模型融合在一起, ...

同问,我也是三个模型合并后进行转换,请问您的转换成功没啊
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ameRk

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发表于 2022-6-18 20:01:33 | 显示全部楼层
jefferyzhang 发表于 2020-3-21 23:06
论坛直播教程就有mtcnn的转换 ,在置顶整合贴里可以找到

有没有三个模型合并成一个模型只有的转换 指导啊
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