name = name.split("\n")[0].strip()
targets_names.append(name)
targets_paths = []
results_paths = []
for name in targets_names:
targets_path = os.path.join(paths["targets_path"], name + ".png")
targets_paths.append(targets_path)
result_path = os.path.join(paths["results_path"] , name + ".npy")
results_paths.append(result_path)
if __name__ == "__main__":
evl = Evaluator(targets_paths , results_paths)
P, R, thres = evl.calc_PR_curve(300)
plt.plot(R,P)
plt.show()
f_score = -1
f_thres = -1
index = 0
for p,r,t in zip(P,R,thres.tolist()):
if(p == 0 or r == 0):
continue
f1 = 2*p*r/(p + r)
if(f1 > f_score ):
f_score = f1
f_thres = t
index += 1
