рабочая лаба 8

lab4/1.yml

@@ -1,81 +1,4 @@
 %YAML:1.0
 ---
 opencv_ml_svm:
-   format: 3
+   {}
-   svmType: C_SVC
-   kernel:
-      type: RBF
-      gamma: 1.
-   C: 1.
-   term_criteria: { epsilon:1.1920928955078125e-07, iterations:1000 }
-   var_count: 1
-   class_count: 2
-   class_labels: !!opencv-matrix
-      rows: 2
-      cols: 1
-      dt: i
-      data: [ -1, 1 ]
-   sv_total: 50
-   support_vectors:
-      - [ 0. ]
-      - [ 0. ]
-      - [ 1.40129846e-45 ]
-      - [ 0. ]
-      - [ 1.40129846e-45 ]
-      - [ 1.40129846e-45 ]
-      - [ 0. ]
-      - [ 0. ]
-      - [ 2.80259693e-45 ]
-      - [ 0. ]
-      - [ 2.80259693e-45 ]
-      - [ 2.80259693e-45 ]
-      - [ 2.80259693e-45 ]
-      - [ 2.80259693e-45 ]
-      - [ 4.20389539e-45 ]
-      - [ 2.80259693e-45 ]
-      - [ 1.40129846e-45 ]
-      - [ 0. ]
-      - [ 0. ]
-      - [ 0. ]
-      - [ 0. ]
-      - [ 1.40129846e-45 ]
-      - [ 0. ]
-      - [ 2.80259693e-45 ]
-      - [ 1.40129846e-45 ]
-      - [ 0. ]
-      - [ 0. ]
-      - [ 0. ]
-      - [ 0. ]
-      - [ 1.40129846e-45 ]
-      - [ 2.80259693e-45 ]
-      - [ 2.80259693e-45 ]
-      - [ 1.40129846e-45 ]
-      - [ 1.40129846e-45 ]
-      - [ 0. ]
-      - [ 0. ]
-      - [ 0. ]
-      - [ 0. ]
-      - [ 0. ]
-      - [ 0. ]
-      - [ 1.40129846e-45 ]
-      - [ 0. ]
-      - [ 1.40129846e-45 ]
-      - [ 0. ]
-      - [ 2.80259693e-45 ]
-      - [ 0. ]
-      - [ 1.40129846e-45 ]
-      - [ 2.80259693e-45 ]
-      - [ 1.40129846e-45 ]
-      - [ 0. ]
-   decision_functions:
-      -
-         sv_count: 50
-         rho: 0.
-         alpha: [ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
-             1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., -1., -1., -1.,
-             -1., -1., -1., -1., -1., -1., -1., -1., -1., -1., -1., -1.,
-             -1., -1., -1., -1., -1., -1., -1., -1., -1., -1. ]
-         index: [ 12, 15, 2, 16, 4, 5, 21, 24, 8, 31, 10, 11, 23, 13, 14,
-             29, 30, 32, 33, 40, 42, 44, 46, 47, 48, 19, 26, 27, 28, 1,
-             3, 25, 0, 7, 34, 35, 36, 37, 38, 39, 9, 41, 6, 43, 17, 45,
-             18, 20, 22, 49 ]

lab4/lab4.py

@@ -9,7 +9,7 @@ from sklearn.ensemble import RandomForestClassifier
 from sklearn.metrics import accuracy_score
 from PyQt5.QtGui import QImage, QPixmap
 from PyQt5.QtWidgets import (QWidget, QApplication, QLabel, QVBoxLayout, QHBoxLayout, QPushButton,
-                             QFileDialog,QComboBox,QMessageBox,QTextBrowser)
+                             QFileDialog, QComboBox, QMessageBox, QTextBrowser)
 
 
 class Example(QWidget):

lab8/lab8.py

@@ -1,8 +1,10 @@
 import cv2
 import numpy as np
 from PIL import Image, ImageDraw
+
+
 def main():
-    image = Image.open('D:\\MACH\\MACH\\LAB_2\\img1.jpg')
+    image = Image.open('input.jpeg')
     image_arr = np.asarray(image)
 
     hog = cv2.HOGDescriptor()
@@ -11,8 +13,9 @@ def main():
     detections_rectangles = detections.tolist()
     draw = ImageDraw.Draw(image)
     for x, y, w, h in detections_rectangles:
-        draw.rectangle(
+        draw.rectangle((x, y, x + w, y + h), outline=(255, 0, 0))
-            [x, y, x + w, y + h], outline=(255, 0, 0))
     image.show()
+
+
 if __name__ == '__main__':
     main()