def er_overall_framewise(O, T):
if len(O.shape) == 3:
O, T = utils.reshape_3Dto2D(O), utils.reshape_3Dto2D(T)
TP = ((2 * T - O) == 1).sum()
Nref, Nsys = T.sum(), O.sum()
ER = (max(Nref, Nsys) - TP) / (Nref + 0.0)
return ER
def f1_overall_framewise(O, T):
if len(O.shape) == 3:
O, T = utils.reshape_3Dto2D(O), utils.reshape_3Dto2D(T)
TP = ((2 * T - O) == 1).sum()
Nref, Nsys = T.sum(), O.sum()
prec = float(TP) / float(Nsys + utils.eps)
recall = float(TP) / float(Nref + utils.eps)
f1_score = 2 * prec * recall / (prec + recall + utils.eps)
return f1_score
def er_overall_1sec(O, T, block_size):
if len(O.shape) == 3:
O, T = utils.reshape_3Dto2D(O), utils.reshape_3Dto2D(T)
new_size = int(O.shape[0] / block_size)
O_block = np.zeros((new_size, O.shape[1]))
T_block = np.zeros((new_size, O.shape[1]))
for i in range(0, new_size):
O_block[i, :] = np.max(O[int(i * block_size):int(i * block_size + block_size - 1), ], axis=0)
T_block[i, :] = np.max(T[int(i * block_size):int(i * block_size + block_size - 1), ], axis=0)
return er_overall_framewise(O_block, T_block)
def er_overall_framewise(O, T):
if len(O.shape) == 3:
O, T = utils.reshape_3Dto2D(O), utils.reshape_3Dto2D(T)
FP = np.logical_and(T == 0, O == 1).sum(1)
FN = np.logical_and(T == 1, O == 0).sum(1)
S = np.minimum(FP, FN).sum()
D = np.maximum(0, FN - FP).sum()
I = np.maximum(0, FP - FN).sum()
Nref = T.sum()
ER = (S + D + I) / (Nref + 0.0)
return ER
def f1_overall_1sec(O, T, block_size):
if len(O.shape) == 3:
O, T = utils.reshape_3Dto2D(O), utils.reshape_3Dto2D(
T) # si riuniscono i T in un unico time slot
new_size = int(
np.ceil(O.shape[0] / block_size)
) #block size è fram in 1 sec,new size è cmapionato ogni 43 frames o ogni secondo
O_block = np.zeros((new_size, O.shape[1]))
T_block = np.zeros((new_size, O.shape[1]))
for i in range(0, new_size):
O_block[i, :] = np.max(O[int(i * block_size):int(i * block_size +
block_size - 1), ],
axis=0)
T_block[i, :] = np.max(T[int(i * block_size):int(i * block_size +
block_size - 1), ],
axis=0)
return f1_overall_framewise(O_block,
T_block) #chiama un'altra cazzo di funzione
