py-exe (Failed to execute script)오류

Question

환경은 윈도우10입니다.test05.py를 pyinstaller 를 사용하여 .exe 파일로 변환 후 test05.exe를 실행시키면 Failed to execute script test05 라는 메세지창이 뜹니다.아나콘다 가상환경에서 작업하고 cam을 이용한 얼굴인식 코드입니다.(face) C:\Users\bit\Desktop\최종프로젝트\얼굴인식(최종)\modules>pyinstaller -w -F -p _dllFiles test05.py5exe변환과정중 몇개의 dll에 Warning이 떠서 _dllFiles를 만들어 해당dll 파일을 집어 넣어지만 Warning은 그대로 출력이 되고있습니다.test05.pyfrom PyQt5.QtWidgets import * from PyQt5.QtGui import * from PyQt5.QtCore import * from onnx_tf.backend import prepare from imutils import face_utils import sys, cv2, time, onnx, pickle, os import onnxruntime as ort import tensorflow as tf import numpy as np import google #함수부분 #region def area_of(left_top, right_bottom): """ Compute the areas of rectangles given two corners. Args: left_top (N, 2): left top corner. right_bottom (N, 2): right bottom corner. Returns: area (N): return the area. """ hw = np.clip(right_bottom - left_top, 0.0, None) return hw[..., 0] * hw[..., 1] def iou_of(boxes0, boxes1, eps=1e-5): """ Return intersection-over-union (Jaccard index) of boxes. Args: boxes0 (N, 4): ground truth boxes. boxes1 (N or 1, 4): predicted boxes. eps: a small number to avoid 0 as denominator. Returns: iou (N): IoU values. """ overlap_left_top = np.maximum(boxes0[..., :2], boxes1[..., :2]) overlap_right_bottom = np.minimum(boxes0[..., 2:], boxes1[..., 2:]) overlap_area = area_of(overlap_left_top, overlap_right_bottom) area0 = area_of(boxes0[..., :2], boxes0[..., 2:]) area1 = area_of(boxes1[..., :2], boxes1[..., 2:]) return overlap_area / (area0 + area1 - overlap_area + eps) def hard_nms(box_scores, iou_threshold, top_k=-1, candidate_size=200): """ Perform hard non-maximum-supression to filter out boxes with iou greater than threshold Args: box_scores (N, 5): boxes in corner-form and probabilities. iou_threshold: intersection over union threshold. top_k: keep top_k results. If k <= 0, keep all the results. candidate_size: only consider the candidates with the highest scores. Returns: picked: a list of indexes of the kept boxes """ scores = box_scores[:, -1] boxes = box_scores[:, :-1] picked = [] indexes = np.argsort(scores) indexes = indexes[-candidate_size:] while len(indexes) > 0: current = indexes[-1] picked.append(current) if 0 < top_k == len(picked) or len(indexes) == 1: break current_box = boxes[current, :] indexes = indexes[:-1] rest_boxes = boxes[indexes, :] iou = iou_of( rest_boxes, np.expand_dims(current_box, axis=0), ) indexes = indexes[iou <= iou_threshold] return box_scores[picked, :] def predict(width, height, confidences, boxes, prob_threshold, iou_threshold=0.5, top_k=-1): """ Select boxes that contain human faces Args: width: original image width height: original image height confidences (N, 2): confidence array boxes (N, 4): boxes array in corner-form iou_threshold: intersection over union threshold. top_k: keep top_k results. If k <= 0, keep all the results. Returns: boxes (k, 4): an array of boxes kept labels (k): an array of labels for each boxes kept probs (k): an array of probabilities for each boxes being in corresponding labels """ boxes = boxes[0] confidences = confidences[0] picked_box_probs = [] picked_labels = [] for class_index in range(1, confidences.shape[1]): probs = confidences[:, class_index] mask = probs > prob_threshold probs = probs[mask] if probs.shape[0] == 0: continue subset_boxes = boxes[mask, :] box_probs = np.concatenate([subset_boxes, probs.reshape(-1, 1)], axis=1) box_probs = hard_nms(box_probs, iou_threshold=iou_threshold, top_k=top_k, ) picked_box_probs.append(box_probs) picked_labels.extend([class_index] * box_probs.shape[0]) if not picked_box_probs: return np.array([]), np.array([]), np.array([]) picked_box_probs = np.concatenate(picked_box_probs) picked_box_probs[:, 0] *= width picked_box_probs[:, 1] *= height picked_box_probs[:, 2] *= width picked_box_probs[:, 3] *= height return picked_box_probs[:, :4].astype(np.int32), np.array(picked_labels), picked_box_probs[:, 4] #endregion #region onnx init # load the model, create runtime session & get input variable name onnx_model = onnx.load('ultra_light/ultra_light_models/ultra_light_640.onnx') predictor = prepare(onnx_model) ort_session = ort.InferenceSession('ultra_light/ultra_light_models/ultra_light_640.onnx') input_name = ort_session.get_inputs()[0].name import dlib ''' shape_predictor = dlib.shape_predictor('model/shape_predictor_68_face_landmarks.dat') fa = face_utils.facealigner.FaceAligner(shape_predictor, desiredFaceWidth=112, desiredLeftEye=(0.3, 0.3)) #정확도 threshold = 0.4 with open("embeddings/embeddings.pkl", "rb") as f: (saved_embeds, names) = pickle.load(f) with tf.Graph().as_default(): with tf.Session() as sess: saver = tf.train.import_meta_graph('model/mfn.ckpt.meta') saver.restore(sess, 'model/mfn.ckpt') images_placeholder = tf.get_default_graph().get_tensor_by_name("input:0") embeddings = tf.get_default_graph().get_tensor_by_name("embeddings:0") phase_train_placeholder = tf.get_default_graph().get_tensor_by_name("phase_train:0") embedding_size = embeddings.get_shape()[1] ''' class Example(QWidget): def __init__(self): super().__init__() self.setWindowTitle("Cam_exam") self.setGeometry(150, 150, 650, 540) self.initUI() #기본값 초기화 def initUI(self): #캠연결객채생성 self.cpt = cv2.VideoCapture(0) #프레임 self.fps = 24 #감도(움직임감지) self.sens = 300 #한장면을 읽어들이기 _, self.img_o = self.cpt.read() #알지비컬러를 그레이로 변경 self.img_a = self.img_o self.img_o = cv2.cvtColor(self.img_o, cv2.COLOR_RGB2GRAY) #이미지저장 cv2.imwrite('img_o.jpg', self.img_o) #self.cnt = 0 #레이블 싸이즈조정(캠) self.frame = QLabel(self) self.frame.resize(640, 480) #레이블크기에맞게 캠영상조절 self.frame.setScaledContents(True) self.frame.move(5, 5) #켜기버튼 self.btn_on = QPushButton("켜기", self) self.btn_on.resize(100, 25) self.btn_on.move(5, 490) self.btn_on.clicked.connect(self.start) #끄기버튼 self.btn_off = QPushButton("끄기", self) self.btn_off.resize(100, 25) self.btn_off.move(5+100+5, 490) self.btn_off.clicked.connect(self.stop) #레이블추가 self.prt = QLabel(self) self.prt.resize(200, 25) self.prt.move(5+105+105, 490) #프레임슬라이더 self.sldr = QSlider(Qt.Horizontal, self) self.sldr.resize(100, 25) self.sldr.move(5+105+105+200, 490) self.sldr.setMinimum(1) self.sldr.setMaximum(30) self.sldr.setValue(24) self.sldr.valueChanged.connect(self.setFps) #움직임감도 슬라이더 추가 self.sldr1 = QSlider(Qt.Horizontal, self) self.sldr1.resize(100, 25) self.sldr1.move(5+105+105+200+105, 490) self.sldr1.setMinimum(50) self.sldr1.setMaximum(500) self.sldr1.setValue(300) self.sldr1.valueChanged.connect(self.setSens) #여기서 프로그램이 띄워짐 self.show() #프레임슬라이더 def setFps(self): self.fps = self.sldr.value() self.prt.setText("FPS " + str(self.fps) + "로 조정") #타이머를 다시껏다킴 self.timer.stop() self.timer.start(1000. / self.fps) #감도슬라이더 def setSens(self): self.sens = self.sldr1.value() self.prt.setText("감도 " + str(self.sens) + "로 조정") #스타트 def start(self): self.timer = QTimer() self.timer.timeout.connect(self.nextFrameSlot) #1000=1초 초당 24프레임 self.timer.start(1000. / self.fps) def detect_face(self, cam): if cam is not None: h, w, _ = cam.shape # preprocess img acquired img = cv2.cvtColor(cam, cv2.COLOR_BGR2RGB) img = cv2.resize(img, (640, 480)) img_mean = np.array([127, 127, 127]) img = (img - img_mean) / 128 img = np.transpose(img, [2, 0, 1]) img = np.expand_dims(img, axis=0) img = img.astype(np.float32) confidences, boxes = ort_session.run(None, {input_name: img}) boxes, labels, probs = predict(w, h, confidences, boxes, 0.7) if boxes is not None: return_cam = self.get_faceinfo(cam, boxes, labels) return return_cam else: self.nextFrameSlot(cam) def get_faceinfo(self, cam, boxes, labels): ''' # locate faces faces = [] boxes[boxes<0] = 0 for i in range(boxes.shape[0]): box = boxes[i, :] x1, y1, x2, y2 = box gray = cv2.cvtColor(cam, cv2.COLOR_BGR2GRAY) aligned_face = fa.align(cam, gray, dlib.rectangle(left = x1, top=y1, right=x2, bottom=y2)) aligned_face = cv2.resize(aligned_face, (112,112)) aligned_face = aligned_face - 127.5 aligned_face = aligned_face * 0.0078125 faces.append(aligned_face) # face embedding if len(faces)>0: print('일하는중') predictions = [] faces = np.array(faces) feed_dict = {images_placeholder: faces, phase_train_placeholder:False} embeds = sess.run(embeddings, feed_dict=feed_dict) # prediciton using distance for embedding in embeds: diff = np.subtract(saved_embeds, embedding) dist = np.sum(np.square(diff), 1) idx = np.argmin(dist) if dist[idx] < threshold: predictions.append(names[idx]) else: predictions.append("unknown") ''' for i in range(boxes.shape[0]): box = boxes[i, :] x1, y1, x2, y2 = box cv2.rectangle(cam, (x1, y1), (x2, y2), (80,18,236), 2) cv2.rectangle(cam, (x1, y2 - 20), (x2, y2), (80,18,236), cv2.FILLED) font = cv2.FONT_HERSHEY_DUPLEX text = f"face: {labels[i]}" cv2.putText(cam, text, (x1 + 6, y2 - 6), font, 0.5, (255, 255, 255), 1) return cam #넥스트프레임 def nextFrameSlot(self): _, cam = self.cpt.read() #cv2는 처음가져오면 BGR이므로 RGb변환 cam = cv2.cvtColor(cam, cv2.COLOR_BGR2RGB) #영상 0은상하반전 1은 좌우반전 cam = cv2.flip(cam, 1) #회색조 self.img_p = cv2.cvtColor(cam, cv2.COLOR_RGB2GRAY) cv2.imwrite('img_p.jpg', self.img_p) #p, o비교 Value = self.compare(self.img_o, self.img_p) #P를 O에 다시집어넣는다 self.img_o = self.img_p.copy() if Value is True: return_cam = self.detect_face(cam) #가로세로 높이 img = QImage(return_cam, return_cam.shape[1], return_cam.shape[0], QImage.Format_RGB888) else: #가로세로 높이 img = QImage(cam, cam.shape[1], cam.shape[0], QImage.Format_RGB888) pix = QPixmap.fromImage(img) #이미지 집어넣기 self.frame.setPixmap(pix) #끄기 def stop(self): self.frame.setPixmap(QPixmap.fromImage(QImage())) self.timer.stop() #비교 (밝고 어두움 값으로 비교) def compare(self, img_o, img_p): #공식 err = np.sum((img_o.astype("float") - img_p.astype("float"))**2) err /= float(img_o.shape[0] * img_p.shape[1]) #변화량이 내가지정한감도보다 쌔다면 시간이흘러~ if(err>=self.sens): t = time.localtime() self.prt.setText("{}-{}-{} {}:{}:{} 움직임감지".format(t.tm_year, t.tm_mon, t.tm_mday, t.tm_hour, t.tm_min, t.tm_sec)) return True else: return False if __name__ == '__main__': app = QApplication(sys.argv) ex = Example() #sys.exit(app.exec_())를 호출하면 메인이벤트 루프에 진입하여 코드가실행되고, 프로그램이 종료될때까지 무한루프로 돌아가게된다. sys.exit(app.exec_()) test05.epec# -*- mode: python ; coding: utf-8 -*- block_cipher = None a = Analysis(['test05.py'], pathex=['_dllFiles', 'C:\Users\bit\Desktop\최종프로젝트\얼굴인식(최종)\modules'], binaries=[], datas=[], hiddenimports=[], hookspath=[], runtime_hooks=[], excludes=[], win_no_prefer_redirects=False, win_private_assemblies=False, cipher=block_cipher, noarchive=False) pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher) exe = EXE(pyz, a.scripts, a.binaries, a.zipfiles, a.datas, [], name='test05', debug=False, bootloader_ignore_signals=False, strip=False, upx=True, upx_exclude=[], runtime_tmpdir=None, console=False ) py-> exe 변환과정 입니다.525 INFO: PyInstaller: 3.6 526 INFO: Python: 3.6.9 (conda) 526 INFO: Platform: Windows-10-10.0.18362-SP0 532 INFO: wrote C:\Users\bit\Desktop\최종프로젝트\얼굴인식(최종)\modules est05.spec 534 INFO: UPX is not available. 537 INFO: Extending PYTHONPATH with paths ['C:\Users\bit\Desktop\최종프로젝트\얼굴인식(최종)\modules', 'C:\Users\bit\Desktop\최종프로젝트\얼굴인식(최종)\modules\_dllFiles', 'C:\Users\bit\Desktop\최종프로젝트\얼굴인식(최종)\modules'] 537 INFO: checking Analysis 538 INFO: Building Analysis because Analysis-00.toc is non existent 538 INFO: Initializing module dependency graph... 546 INFO: Caching module graph hooks... 553 INFO: Analyzing base_library.zip ... 10447 INFO: Caching module dependency graph... 10635 INFO: running Analysis Analysis-00.toc 10651 INFO: Adding Microsoft.Windows.Common-Controls to dependent assemblies of final executable required by c:\users\bit\appdata\local\conda\conda\envs\face\python.exe 11249 INFO: Analyzing C:\Users\bit\Desktop\최종프로젝트\얼굴인식(최종)\modules est05.py 12393 INFO: Processing pre-safe import module hook six.moves 14277 INFO: Processing pre-find module path hook distutils 14283 INFO: distutils: retargeting to non-venv dir 'c:\users\bit\appdata\local\conda\conda\envs\face\lib' 17334 INFO: Processing pre-find module path hook site 17344 INFO: site: retargeting to fake-dir 'c:\users\bit\appdata\local\conda\conda\envs\face\lib\site-packages\PyInstaller\fake-modules' 21051 INFO: Processing pre-safe import module hook setuptools.extern.six.moves 128213 INFO: Processing module hooks... 128213 INFO: Loading module hook "hook-certifi.py"... 128220 INFO: Loading module hook "hook-cv2.py"... 128225 INFO: Loading module hook "hook-distutils.py"... 128237 INFO: Loading module hook "hook-encodings.py"... 128348 INFO: Loading module hook "hook-h5py.py"... 128355 INFO: Loading module hook "hook-httplib2.py"... 128362 INFO: Loading module hook "hook-importlib_metadata.py"... 128365 INFO: Loading module hook "hook-IPython.py"... 131457 INFO: Excluding import 'gtk' 131466 INFO: Excluding import 'PySide' 131466 INFO: Removing import of PySide from module IPython.external.qt_loaders 131466 INFO: Excluding import 'PyQt5' 131485 INFO: Removing import of PyQt5.QtGui from module IPython.external.qt_loaders 131486 INFO: Removing import of PyQt5.QtCore from module IPython.external.qt_loaders 131486 INFO: Removing import of PyQt5 from module IPython.external.qt_loaders 131486 INFO: Removing import of PyQt5.QtWidgets from module IPython.external.qt_loaders 131487 INFO: Removing import of PyQt5.QtSvg from module IPython.external.qt_loaders 131488 INFO: Excluding import 'PyQt4' 131488 INFO: Removing import of PyQt4 from module IPython.external.qt_loaders 131488 INFO: Excluding import 'tkinter' 131503 INFO: Removing import of tkinter from module IPython.lib.clipboard 131503 INFO: Excluding import 'matplotlib' 131503 INFO: Removing import of matplotlib from module IPython.core.pylabtools 131519 INFO: Loading module hook "hook-jedi.py"... 131675 INFO: Loading module hook "hook-jinja2.py"... 131690 INFO: Loading module hook "hook-jsonschema.py"... 131714 INFO: Loading module hook "hook-lib2to3.py"... 131728 INFO: Loading module hook "hook-markdown.py"... 132150 INFO: Loading module hook "hook-nbconvert.py"... 132176 INFO: Loading module hook "hook-nbformat.py"... 132189 INFO: Loading module hook "hook-notebook.py"... 135931 INFO: Loading module hook "hook-numpy.core.py"... 136841 INFO: MKL libraries found when importing numpy. Adding MKL to binaries 136846 INFO: Loading module hook "hook-numpy.py"... 136852 INFO: Loading module hook "hook-pkg_resources.py"... 137690 INFO: Processing pre-safe import module hook win32com 138047 INFO: Excluding import '__main__' 138055 INFO: Removing import of __main__ from module pkg_resources 138056 INFO: Loading module hook "hook-pydoc.py"... 138063 INFO: Loading module hook "hook-pygments.py"... 141796 INFO: Loading module hook "hook-PyQt5.py"... 141990 INFO: Loading module hook "hook-PyQt5.QtCore.py"... 142173 INFO: Loading module hook "hook-PyQt5.QtGui.py"... 142455 INFO: Loading module hook "hook-PyQt5.QtSvg.py"... 143081 INFO: Loading module hook "hook-PyQt5.QtWidgets.py"... 143360 INFO: Loading module hook "hook-pythoncom.py"... 143783 INFO: Loading module hook "hook-pywintypes.py"... 144321 INFO: Loading module hook "hook-scipy.linalg.py"... 144327 INFO: Loading module hook "hook-scipy.py"... 144335 INFO: Loading module hook "hook-scipy.sparse.csgraph.py"... 144349 INFO: Loading module hook "hook-scipy.special._ellip_harm_2.py"... 144354 INFO: Loading module hook "hook-scipy.special._ufuncs.py"... 144360 INFO: Loading module hook "hook-setuptools.py"... 145348 INFO: Loading module hook "hook-sqlite3.py"... 145490 INFO: Loading module hook "hook-sysconfig.py"... 145508 INFO: Loading module hook "hook-win32com.py"... 146320 INFO: Loading module hook "hook-xml.dom.domreg.py"... 146326 INFO: Loading module hook "hook-xml.etree.cElementTree.py"... 146332 INFO: Loading module hook "hook-xml.py"... 146338 INFO: Loading module hook "hook-zmq.py"... 146841 INFO: Loading module hook "hook-_tkinter.py"... 147211 INFO: checking Tree 147212 INFO: Building Tree because Tree-00.toc is non existent 147213 INFO: Building Tree Tree-00.toc 147337 INFO: checking Tree 147337 INFO: Building Tree because Tree-01.toc is non existent 147338 INFO: Building Tree Tree-01.toc 147940 INFO: Looking for ctypes DLLs 148090 INFO: Analyzing run-time hooks ... 148146 INFO: Including run-time hook 'pyi_rth_pkgres.py' 148153 INFO: Including run-time hook 'pyi_rth_win32comgenpy.py' 148164 INFO: Including run-time hook 'pyi_rth_multiprocessing.py' 148176 INFO: Including run-time hook 'pyi_rth_traitlets.py' 148186 INFO: Including run-time hook 'pyi_rth__tkinter.py' 148190 INFO: Including run-time hook 'pyi_rth_certifi.py' 148190 INFO: Including run-time hook 'pyi_rth_pyqt5.py' 148345 INFO: Looking for dynamic libraries 149227 WARNING: lib not found: mpich2mpi.dll dependency of c:\users\bit\appdata\local\conda\conda\envs\face\Library\bin\mkl_blacs_mpich2_lp64.dll 149813 WARNING: lib not found: pgf90rtl.dll dependency of c:\users\bit\appdata\local\conda\conda\envs\face\Library\bin\mkl_pgi_thread.dll 149816 WARNING: lib not found: pgc14.dll dependency of c:\users\bit\appdata\local\conda\conda\envs\face\Library\bin\mkl_pgi_thread.dll 149819 WARNING: lib not found: pgf90.dll dependency of c:\users\bit\appdata\local\conda\conda\envs\face\Library\bin\mkl_pgi_thread.dll 150290 WARNING: lib not found: impi.dll dependency of c:\users\bit\appdata\local\conda\conda\envs\face\Library\bin\mkl_blacs_intelmpi_ilp64.dll 150872 WARNING: lib not found: mpich2mpi.dll dependency of c:\users\bit\appdata\local\conda\conda\envs\face\Library\bin\mkl_blacs_mpich2_ilp64.dll 151689 WARNING: lib not found: impi.dll dependency of c:\users\bit\appdata\local\conda\conda\envs\face\Library\bin\mkl_blacs_intelmpi_lp64.dll 155718 INFO: Looking for eggs 155718 INFO: Using Python library c:\users\bit\appdata\local\conda\conda\envs\face\python36.dll 155719 INFO: Found binding redirects: [] 155770 INFO: Warnings written to C:\Users\bit\Desktop\최종프로젝트\얼굴인식(최종)\modules\build est05\warn-test05.txt 157115 INFO: Graph cross-reference written to C:\Users\bit\Desktop\최종프로젝트\얼굴인식(최종)\modules\build est05\xref-test05.html 157741 INFO: checking PYZ 157741 INFO: Building PYZ because PYZ-00.toc is non existent 157742 INFO: Building PYZ (ZlibArchive) C:\Users\bit\Desktop\최종프로젝트\얼굴인식(최종)\modules\build est05\PYZ-00.pyz 166774 INFO: Building PYZ (ZlibArchive) C:\Users\bit\Desktop\최종프로젝트\얼굴인식(최종)\modules\build est05\PYZ-00.pyz completed successfully. 166977 INFO: checking PKG 166978 INFO: Building PKG because PKG-00.toc is non existent 166979 INFO: Building PKG (CArchive) PKG-00.pkg 333286 INFO: Building PKG (CArchive) PKG-00.pkg completed successfully. 333528 INFO: Bootloader c:\users\bit\appdata\local\conda\conda\envs\face\lib\site-packages\PyInstaller\bootloader\Windows-64bit unw.exe 333528 INFO: checking EXE 333528 INFO: Building EXE because EXE-00.toc is non existent 333529 INFO: Building EXE from EXE-00.toc 333529 INFO: Appending archive to EXE C:\Users\bit\Desktop\최종프로젝트\얼굴인식(최종)\modules\dist est05.exe 335282 INFO: Building EXE from EXE-00.toc completed successfully.

py->exe (Failed to execute script)오류

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