From b8d9812e6c754b6a59b11d533ea6ee910348ef6c Mon Sep 17 00:00:00 2001
From: 乔峰昇 <qiaofengsheng@situdata.com>
Date: Wed, 9 Feb 2022 14:12:21 +0800
Subject: [PATCH] mnn

---
 .idea/workspace.xml                      | 88 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++-----------------
 cls_abnormal_face_mnn_1.0.0_v0.0.1.mnn   | Bin 0 -> 8848620 bytes
 cls_abnormal_face_onnx_1.0.0_v0.0.1.onnx | Bin 0 -> 8849116 bytes
 infer_mnn.py                             | 30 +++++++++---------------------
 mobilenet_v2.mnn                         | Bin 8848620 -> 0 bytes
 mobilenet_v2.onnx                        | Bin 8849116 -> 0 bytes
 6 files changed, 80 insertions(+), 38 deletions(-)
 create mode 100644 cls_abnormal_face_mnn_1.0.0_v0.0.1.mnn
 create mode 100644 cls_abnormal_face_onnx_1.0.0_v0.0.1.onnx
 delete mode 100644 mobilenet_v2.mnn
 delete mode 100644 mobilenet_v2.onnx

diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index 65b3c17..edbc3b9 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -2,29 +2,34 @@
 <project version="4">
   <component name="ChangeListManager">
     <list default="true" id="8255f694-c607-4431-a530-39f2e0df4506" name="Default Changelist" comment="">
-      <change beforePath="$PROJECT_DIR$/.idea/.gitignore" beforeDir="false" />
-      <change beforePath="$PROJECT_DIR$/.idea/face_mask_classifier.iml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/face_mask_classifier.iml" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/.idea/inspectionProfiles/Project_Default.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/inspectionProfiles/Project_Default.xml" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/.idea/inspectionProfiles/profiles_settings.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/inspectionProfiles/profiles_settings.xml" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/.idea/misc.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/misc.xml" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/dataset.py" beforeDir="false" />
-      <change beforePath="$PROJECT_DIR$/image/img.png" beforeDir="false" />
-      <change beforePath="$PROJECT_DIR$/image/img_1.png" beforeDir="false" />
-      <change beforePath="$PROJECT_DIR$/infer.py" beforeDir="false" afterPath="$PROJECT_DIR$/infer.py" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/net.py" beforeDir="false" />
-      <change beforePath="$PROJECT_DIR$/params/cls_face_mobilenet_v2.pth" beforeDir="false" />
-      <change beforePath="$PROJECT_DIR$/test.py" beforeDir="false" />
-      <change beforePath="$PROJECT_DIR$/train.py" beforeDir="false" afterPath="$PROJECT_DIR$/train.py" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/utils.py" beforeDir="false" />
+      <change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/infer_mnn.py" beforeDir="false" afterPath="$PROJECT_DIR$/infer_mnn.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/mobilenet_v2.mnn" beforeDir="false" afterPath="$PROJECT_DIR$/cls_abnormal_face_mnn_1.0.0_v0.0.1.mnn" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/mobilenet_v2.onnx" beforeDir="false" afterPath="$PROJECT_DIR$/cls_abnormal_face_onnx_1.0.0_v0.0.1.onnx" afterDir="false" />
     </list>
     <option name="SHOW_DIALOG" value="false" />
     <option name="HIGHLIGHT_CONFLICTS" value="true" />
     <option name="HIGHLIGHT_NON_ACTIVE_CHANGELIST" value="false" />
     <option name="LAST_RESOLUTION" value="IGNORE" />
   </component>
+  <component name="FileTemplateManagerImpl">
+    <option name="RECENT_TEMPLATES">
+      <list>
+        <option value="Python Script" />
+      </list>
+    </option>
+  </component>
   <component name="Git.Settings">
     <option name="RECENT_GIT_ROOT_PATH" value="$PROJECT_DIR$" />
   </component>
+  <component name="GitSEFilterConfiguration">
+    <file-type-list>
+      <filtered-out-file-type name="LOCAL_BRANCH" />
+      <filtered-out-file-type name="REMOTE_BRANCH" />
+      <filtered-out-file-type name="TAG" />
+      <filtered-out-file-type name="COMMIT_BY_MESSAGE" />
+    </file-type-list>
+  </component>
   <component name="ProjectId" id="24r53vDpNxHFy2XFaKewyUFOSTL" />
   <component name="ProjectViewState">
     <option name="hideEmptyMiddlePackages" value="true" />
@@ -34,10 +39,52 @@
   <component name="PropertiesComponent">
     <property name="RunOnceActivity.OpenProjectViewOnStart" value="true" />
     <property name="RunOnceActivity.ShowReadmeOnStart" value="true" />
-    <property name="last_opened_file_path" value="$PROJECT_DIR$" />
+    <property name="last_opened_file_path" value="$PROJECT_DIR$/../Pytorch-Image-Classifier-Collection" />
     <property name="settings.editor.selected.configurable" value="com.jetbrains.python.configuration.PyActiveSdkModuleConfigurable" />
   </component>
-  <component name="RunManager">
+  <component name="RunManager" selected="Python.infer_mnn">
+    <configuration name="cc" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
+      <module name="face_mask_classifier" />
+      <option name="INTERPRETER_OPTIONS" value="" />
+      <option name="PARENT_ENVS" value="true" />
+      <envs>
+        <env name="PYTHONUNBUFFERED" value="1" />
+      </envs>
+      <option name="SDK_HOME" value="" />
+      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" />
+      <option name="IS_MODULE_SDK" value="true" />
+      <option name="ADD_CONTENT_ROOTS" value="true" />
+      <option name="ADD_SOURCE_ROOTS" value="true" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/cc.py" />
+      <option name="PARAMETERS" value="" />
+      <option name="SHOW_COMMAND_LINE" value="false" />
+      <option name="EMULATE_TERMINAL" value="false" />
+      <option name="MODULE_MODE" value="false" />
+      <option name="REDIRECT_INPUT" value="false" />
+      <option name="INPUT_FILE" value="" />
+      <method v="2" />
+    </configuration>
+    <configuration name="ddd" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
+      <module name="face_mask_classifier" />
+      <option name="INTERPRETER_OPTIONS" value="" />
+      <option name="PARENT_ENVS" value="true" />
+      <envs>
+        <env name="PYTHONUNBUFFERED" value="1" />
+      </envs>
+      <option name="SDK_HOME" value="" />
+      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" />
+      <option name="IS_MODULE_SDK" value="true" />
+      <option name="ADD_CONTENT_ROOTS" value="true" />
+      <option name="ADD_SOURCE_ROOTS" value="true" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/ddd.py" />
+      <option name="PARAMETERS" value="" />
+      <option name="SHOW_COMMAND_LINE" value="false" />
+      <option name="EMULATE_TERMINAL" value="false" />
+      <option name="MODULE_MODE" value="false" />
+      <option name="REDIRECT_INPUT" value="false" />
+      <option name="INPUT_FILE" value="" />
+      <method v="2" />
+    </configuration>
     <configuration name="infer_mnn" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
       <module name="face_mask_classifier" />
       <option name="INTERPRETER_OPTIONS" value="" />
@@ -53,15 +100,22 @@
       <option name="SCRIPT_NAME" value="$PROJECT_DIR$/infer_mnn.py" />
       <option name="PARAMETERS" value="" />
       <option name="SHOW_COMMAND_LINE" value="false" />
-      <option name="EMULATE_TERMINAL" value="false" />
+      <option name="EMULATE_TERMINAL" value="true" />
       <option name="MODULE_MODE" value="false" />
       <option name="REDIRECT_INPUT" value="false" />
       <option name="INPUT_FILE" value="" />
       <method v="2" />
     </configuration>
+    <list>
+      <item itemvalue="Python.cc" />
+      <item itemvalue="Python.ddd" />
+      <item itemvalue="Python.infer_mnn" />
+    </list>
     <recent_temporary>
       <list>
         <item itemvalue="Python.infer_mnn" />
+        <item itemvalue="Python.ddd" />
+        <item itemvalue="Python.cc" />
       </list>
     </recent_temporary>
   </component>
diff --git a/cls_abnormal_face_mnn_1.0.0_v0.0.1.mnn b/cls_abnormal_face_mnn_1.0.0_v0.0.1.mnn
new file mode 100644
index 0000000..8a3ef45
Binary files /dev/null and b/cls_abnormal_face_mnn_1.0.0_v0.0.1.mnn differ
diff --git a/cls_abnormal_face_onnx_1.0.0_v0.0.1.onnx b/cls_abnormal_face_onnx_1.0.0_v0.0.1.onnx
new file mode 100644
index 0000000..0344674
Binary files /dev/null and b/cls_abnormal_face_onnx_1.0.0_v0.0.1.onnx differ
diff --git a/infer_mnn.py b/infer_mnn.py
index b5d017a..780acbc 100644
--- a/infer_mnn.py
+++ b/infer_mnn.py
@@ -1,11 +1,7 @@
-
-import os
-
 import cv2
 from PIL import Image, ImageFont, ImageDraw
-import torch
-from torchvision import transforms
 import MNN
+import numpy as np
 
 
 def keep_shape_resize(frame, size=128):
@@ -24,12 +20,10 @@ def keep_shape_resize(frame, size=128):
 def image_infer_mnn(mnn_model_path, image_path, class_list):
     image = Image.open(image_path)
     input_image = keep_shape_resize(image)
-    preprocess = transforms.Compose([transforms.ToTensor()])
-    input_data = preprocess(input_image)
+    input_data = np.array(input_image).astype(np.float32).transpose((2, 0, 1)) / 255
     interpreter = MNN.Interpreter(mnn_model_path)
     session = interpreter.createSession()
     input_tensor = interpreter.getSessionInput(session)
-    input_data = input_data.cpu().numpy().squeeze()
     tmp_input = MNN.Tensor((1, 3, 128, 128), MNN.Halide_Type_Float, input_data, MNN.Tensor_DimensionType_Caffe)
     input_tensor.copyFrom(tmp_input)
     interpreter.runSession(session)
@@ -53,9 +47,7 @@ def video_infer_mnn(mnn_model_path, video_path):
             image_data = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
             image_data = Image.fromarray(image_data)
             image_data = keep_shape_resize(image_data, 128)
-            preprocess = transforms.Compose([transforms.ToTensor()])
-            input_data = preprocess(image_data)
-            input_data = input_data.cpu().numpy().squeeze()
+            input_data = np.array(image_data).astype(np.float32).transpose((2, 0, 1)) / 255
             tmp_input = MNN.Tensor((1, 3, 128, 128), MNN.Halide_Type_Float, input_data, MNN.Tensor_DimensionType_Caffe)
             input_tensor.copyFrom(tmp_input)
             interpreter.runSession(session)
@@ -81,9 +73,7 @@ def camera_infer_mnn(mnn_model_path, camera_id):
             image_data = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
             image_data = Image.fromarray(image_data)
             image_data = keep_shape_resize(image_data, 128)
-            preprocess = transforms.Compose([transforms.ToTensor()])
-            input_data = preprocess(image_data)
-            input_data = input_data.cpu().numpy().squeeze()
+            input_data = np.array(image_data).astype(np.float32).transpose((2, 0, 1)) / 255
             tmp_input = MNN.Tensor((1, 3, 128, 128), MNN.Halide_Type_Float, input_data, MNN.Tensor_DimensionType_Caffe)
             input_tensor.copyFrom(tmp_input)
             interpreter.runSession(session)
@@ -98,14 +88,12 @@ def camera_infer_mnn(mnn_model_path, camera_id):
             break
 
 
-
 if __name__ == '__main__':
     class_list = ['mask', 'no_mask']
-    image_path = 'test_image/mask_2997.jpg'
-    mnn_model_path = 'mobilenet_v2.mnn'
+    image_path = 'test_image/mask_2995.jpg'
+    mnn_model_path = 'cls_abnormal_face_mnn_1.0.0_v0.0.1.mnn'
     # image
-    # image=image_infer_mnn(mnn_model_path,image_path,class_list)
-    # image.show()
-
+    image = image_infer_mnn(mnn_model_path, image_path, class_list)
+    image.show()
     # camera
-    camera_infer_mnn(mnn_model_path, 0)
+    # camera_infer_mnn(mnn_model_path,0)
diff --git a/mobilenet_v2.mnn b/mobilenet_v2.mnn
deleted file mode 100644
index 8a3ef45..0000000
Binary files a/mobilenet_v2.mnn and /dev/null differ
diff --git a/mobilenet_v2.onnx b/mobilenet_v2.onnx
deleted file mode 100644
index 0344674..0000000
Binary files a/mobilenet_v2.onnx and /dev/null differ
--
libgit2 0.24.0