cleanup

src/experiments/algorithms/sift_v2.py

@@ -1,69 +0,0 @@
-import numpy as np
-import cv2
-import os
-import matplotlib.pyplot as plt
-import math
-
-avg_magnitudes = np.zeros(10)
-max_magnitudes = np.zeros(10)
-avg_angle = np.zeros(10)
-counts = np.zeros(10)
-i = 0
-
-for filename in os.listdir(os.path.join(os.getcwd(), "./res/trees/")):
-    ## Load an image ##
-    directory = os.path.join(os.getcwd(), "./res/trees/")
-    path = os.path.join(directory, filename)
-    img = cv2.imread(path, 0)
-
-    ## Detect Keypoints ##
-    sift = cv2.SIFT.create(enable_precise_upscale=True)
-    kp = sift.detect(img, None)
-    img = cv2.drawKeypoints(
-        img,
-        kp,
-        img, 
-        flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
-    
-    ## Average and Max size ##
-    magnitudes = [keypoint.size for keypoint in kp]
-    max_magnitudes[i] = np.amax(magnitudes)
-    avg_magnitudes[i] = np.sum(magnitudes)/len(kp)
-
-    ## Number of keypoints ##
-    counts[i] = len(kp)
-
-    ## Average angle ##
-    angle_radians = [math.radians(keypoint.angle) for keypoint in kp]
-    sum_sin = sum(math.sin(angle) for angle in angle_radians)
-    sum_cos = sum(math.cos(angle) for angle in angle_radians)
-    avg_angle_rad = math.atan2(sum_sin, sum_cos)
-    avg_angle[i] = math.degrees(avg_angle_rad) % 360
-
-    i += 1
-    # break
-    # cv2.imshow("output", img)
-    # cv2.waitKey(0)
-
-
-plt.scatter(counts, avg_magnitudes)
-plt.title("Hoeveelheid keypoints vs gemiddelde magnitude")
-plt.grid()
-plt.show()
-
-plt.scatter(counts, max_magnitudes)
-plt.title("Hoeveelheid keypoints vs maximale magnitude")
-plt.grid()
-plt.show()
-
-plt.scatter(avg_magnitudes, max_magnitudes)
-plt.title("gemiddelde magnitude vs maximale magnitude")
-plt.grid()
-plt.show()
-
-plt.scatter(counts, avg_angle)
-plt.title("Hoeveelheid keypoints vs gemiddelde hoek")
-plt.grid()
-plt.show()
-
-cv2.destroyAllWindows()

src/experiments/algorithms/sift_v3.py

@@ -78,7 +78,7 @@ for folder in os.listdir(DATASET_PATH):
 
 print("Done!")
 
-## Pandas ##
+## CSV ##
 with open(CSV_PATH + "sift.csv" , 'w', newline='') as file:
     for i in range(len(labels)):
         file.write(labels[i] + '\n')
@@ -91,21 +91,6 @@ with open(CSV_PATH + "sift.csv" , 'w', newline='') as file:
             file.write(str(max_responses[i][j]) + ',')
             file.write(str(counts[i][j]) + '\n')
 
-## CSV ##
-# with open(CSV_PATH + "data.csv" , 'w', newline='') as file:
-    # writer = csv.writer(file, delimiter=',')
-
-    # for i in range(len(tot_magnitudes)):
-        # writer.writerow(tot_magnitudes[i])
-        # writer.writerow(avg_magnitudes[i])
-        # writer.writerow(max_magnitudes[i])
-        # writer.writerow(counts[i])
-        # writer.writerow('')
-
-    # writer.writerows(max_magnitudes)
-    # writer.writerows(avg_magnitudes)
-    # writer.writerows(counts)
-
 ## Plots ##
 # fig, ax = plt.subplots()
 # for i in range(DATASET_FOLDERS_LEN):