def plot_recErr_per_data(task, data_name, maskFlag, epochNums, resultname,
color, ax):
gtpaths = returnGTPaths(task, data_name)
s0paths = returnS0Paths(task, data_name)
if maskFlag:
maskpaths = returnMaskPaths(task, data_name)
err_perEpoch = []
for epochNum in epochNums:
recpaths = returnRecPaths(task, resultname, epochNum, data_name)
errs = np.empty(0, dtype=np.float32)
for gtpath in gtpaths:
s0path = find_same_id_s0(gtpath, s0paths)
recpath = find_same_id(gtpath, recpaths)
gt = cv2.imread(str(gtpath), -1).astype(np.float32)
s0 = cv2.imread(str(s0path), -1).astype(np.float32)
rec = cv2.imread(str(recpath), -1).astype(np.float32)
# Calc masks
noObj_mask = (np.sum(gt, axis=2) > 0)
s0_mask = (np.sum(s0 / 3, axis=2) > params["s0threshold"])
# Calc error
ang_deg = calcAngError(gt, rec)
# consider mask area
if maskFlag:
maskpath = find_same_id(gtpath, maskpaths)
mask = cv2.imread(str(maskpath), -1).astype(np.float32)
ang_deg = extractMaskArea(ang_deg, mask, maskFlag)
noObj_mask = extractMaskArea(noObj_mask, mask, maskFlag)
s0_mask = extractMaskArea(s0_mask, mask, maskFlag)
ang_deg = ang_deg[noObj_mask * s0_mask]
errs = np.append(errs, ang_deg)
err_perEpoch.append(np.mean(errs))
ax.plot(epochNums,
err_perEpoch,
label=data_name.split("/")[1],
color=color,
marker=shape)
ax.legend(bbox_to_anchor=(1.05, 1), loc="upper left")
epochNums = returnSortedEpochNum(result_epochs)
for shape, data_name in zip(shapes, data_names):
gtpaths = returnGTPaths(task, data_name)
s0paths = returnS0Paths(task, data_name)
if maskFlag:
maskpaths = returnMaskPaths(task, data_name)
err_perEpoch = []
for epochNum in epochNums:
recpaths = returnRecPaths(task, resultname, epochNum, data_name)
errs = np.empty(0, dtype=np.float32)
for gtpath in gtpaths:
s0path = find_same_id_s0(gtpath, s0paths)
recpath = find_same_id(gtpath, recpaths)
gt = cv2.imread(str(gtpath), -1).astype(np.float32)
s0 = cv2.imread(str(s0path), -1).astype(np.float32)
rec = cv2.imread(str(recpath), -1).astype(np.float32)
# Calc masks
noObj_mask = (np.sum(gt, axis=2) > 0)
s0_mask = (np.sum(s0 / 3, axis=2) > params["s0threshold"])
# Calc error
ang_deg = calcAngError(gt, rec)
# consider mask area
if maskFlag: