diff options
| -rwxr-xr-x | data/face-detection-accuracy.py | 31 |
1 files changed, 22 insertions, 9 deletions
diff --git a/data/face-detection-accuracy.py b/data/face-detection-accuracy.py index ad43a2f..161f932 100755 --- a/data/face-detection-accuracy.py +++ b/data/face-detection-accuracy.py @@ -4,13 +4,26 @@ import matplotlib.mlab as ml import numpy as np import sys -face_filename = sys.argv[1] -data = ml.load(face_filename,delimiter=",",usecols=[3,4]) -distance_detected = [float(distance) for (distance,detected) in data if int(detected)>0] -distance = [float(distance) for (distance,detected) in data] -range = (min(distance),max(distance)) -hist_detected,bins = np.histogram(distance_detected,bins=30,range=range) -hist,bins = np.histogram(distance, bins=30, range=range) -result = hist_detected*1./hist -plt.bar(bins[1:],result,width=np.diff(bins)[1]) +numbins_distance = 15 +numbins_brightness = 30 +face_detection_filename = sys.argv[1] +brightness_filename = sys.argv[2] +distance,detected = ml.load(face_detection_filename,delimiter=",",usecols=[3,4],unpack=True) +brightness = ml.load(brightness_filename,delimiter=",",usecols=[3],unpack=True) +distance_detected = distance[detected>0] +brightness_detected = brightness[detected>0] +range_distance = (min(distance),max(distance)) +range_brightness = (min(brightness),max(brightness)) +hist_detected,bins = np.histogram(distance_detected,bins=numbins_distance,range=range_distance) +hist,bins = np.histogram(distance, bins=numbins_distance, range=range_distance) +brightness_hist_detected,bins_brightness = np.histogram(brightness_detected,bins=numbins_brightness, range=range_brightness) +brightness_hist,bins_brightness = np.histogram(brightness,bins=numbins_brightness, range=range_brightness) + +result1 = hist_detected*1./hist +result2 = brightness_hist_detected*1./brightness_hist +plt.subplot(211) +plt.bar(bins[:-1],result1,width=np.diff(bins)) +plt.subplot(212) +plt.bar(bins_brightness[:-1],result2,width=np.diff(bins_brightness)) plt.show() + |