allow multiple detectors
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469eeea370
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@ -7,6 +7,8 @@ import sys, os, os.path, glob, math, cv2
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from datetime import datetime
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from datetime import datetime
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import numpy
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import numpy
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plot_colors = ['b', 'r', 'g', 'c', 'm']
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# "key" : ( b, g, r)
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# "key" : ( b, g, r)
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bgr = { "red" : ( 0, 0, 255),
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bgr = { "red" : ( 0, 0, 255),
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"green" : ( 0, 255, 0),
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"green" : ( 0, 255, 0),
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@ -19,7 +21,7 @@ if __name__ == "__main__":
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parser = argparse.ArgumentParser(description = 'Plot ROC curve using Caltech mathod of per image detection performance estimation.')
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parser = argparse.ArgumentParser(description = 'Plot ROC curve using Caltech mathod of per image detection performance estimation.')
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# positional
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# positional
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parser.add_argument("cascade", help = "Path to the tested detector.")
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parser.add_argument("cascade", help = "Path to the tested detector.", nargs='+')
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parser.add_argument("input", help = "Image sequence pattern.")
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parser.add_argument("input", help = "Image sequence pattern.")
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parser.add_argument("annotations", help = "Path to the annotations.")
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parser.add_argument("annotations", help = "Path to the annotations.")
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@ -34,9 +36,13 @@ if __name__ == "__main__":
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args = parser.parse_args()
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args = parser.parse_args()
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# parse annotations
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print args.cascade
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# # parse annotations
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sft.initPlot()
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samples = call_parser(args.anttn_format, args.annotations)
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samples = call_parser(args.anttn_format, args.annotations)
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cascade = sft.cascade(args.min_scale, args.max_scale, args.nscales, args.cascade)
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for idx, each in enumerate(args.cascade):
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print each
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cascade = sft.cascade(args.min_scale, args.max_scale, args.nscales, each)
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pattern = args.input
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pattern = args.input
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camera = cv2.VideoCapture(pattern)
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camera = cv2.VideoCapture(pattern)
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@ -77,4 +83,6 @@ if __name__ == "__main__":
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print nframes, nannotated
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print nframes, nannotated
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fppi, miss_rate = sft.computeROC(confidenses, tp, nannotated, nframes)
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fppi, miss_rate = sft.computeROC(confidenses, tp, nannotated, nframes)
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sft.plotLogLog(fppi, miss_rate)
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sft.plotLogLog(fppi, miss_rate, plot_colors[idx])
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sft.showPlot("roc_curve.png")
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@ -55,7 +55,7 @@ def crop_rect(rect, factor):
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#
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#
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def plotLogLog(fppi, miss_rate):
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def initPlot():
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fig, ax = plt.subplots()
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fig, ax = plt.subplots()
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fig.canvas.draw()
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fig.canvas.draw()
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@ -63,22 +63,19 @@ def plotLogLog(fppi, miss_rate):
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plt.xlabel("fppi")
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plt.xlabel("fppi")
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plt.ylabel("miss rate")
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plt.ylabel("miss rate")
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plt.title("ROC curve Bahnhof")
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plt.title("ROC curve Bahnhof")
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# plt.yticks( [0.05, 0.10, 0.20, 0.30, 0.40, 0.50, 0.64, 0.80])
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# ylabels = [item.get_text() for item in ax.get_yticklabels()]
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# ax.set_yticklabels( ylabels )
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plt.grid(True)
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plt.grid(True)
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# plt.xticks( [pow(10, -4), pow(10, -3), pow(10, -2), pow(10, -1), pow(10, 0), pow(10, 1)])
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# xlabels = [item.get_text() for item in ax.get_xticklabels()]
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# ax.set_xticklabels( xlabels )
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plt.xscale('log')
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plt.xscale('log')
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plt.yscale('log')
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plt.yscale('log')
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plt.semilogy(fppi, miss_rate, color='m', linewidth=2)
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def showPlot(name):
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plt.savefig(name)
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plt.show()
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plt.show()
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def plotLogLog(fppi, miss_rate, c):
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plt.semilogy(fppi, miss_rate, color = c, linewidth = 2)
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def draw_rects(img, rects, color, l = lambda x, y : x + y):
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def draw_rects(img, rects, color, l = lambda x, y : x + y):
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if rects is not None:
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if rects is not None:
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for x1, y1, x2, y2 in rects:
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for x1, y1, x2, y2 in rects:
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