Skip to content

Commit 21fee9b

Browse files
vidalmaximevidalmaxime
committed
removed unnecessary code
1 parent b1be111 commit 21fee9b

File tree

1 file changed

+0
-356
lines changed

1 file changed

+0
-356
lines changed

‎napari_cellseg3d/utils.py‎

Lines changed: 0 additions & 356 deletions
Original file line numberDiff line numberDiff line change
@@ -601,359 +601,3 @@ def format_Warning(message, category, filename, lineno, line=""):
601601
+ str(message)
602602
+ "\n"
603603
)
604-
605-
606-
def divide_imgs(images):
607-
H = -(-images.shape[1] // 412)
608-
W = -(-images.shape[2] // 412)
609-
610-
diveded_imgs = np.zeros((images.shape[0] * H * W, 512, 512, 1), np.float32)
611-
# print(H, W)
612-
613-
for z in range(images.shape[0]):
614-
image = images[z]
615-
for h in range(H):
616-
for w in range(W):
617-
cropped_img = np.zeros((512, 512, 1), np.float32)
618-
cropped_img -= 1
619-
620-
if images.shape[1] < 412:
621-
h = -1
622-
if images.shape[2] < 412:
623-
w = -1
624-
625-
if h == -1:
626-
if w == -1:
627-
cropped_img[
628-
50 : images.shape[1] + 50,
629-
50 : images.shape[2] + 50,
630-
0,
631-
] = image[0 : images.shape[1], 0 : images.shape[2], 0]
632-
elif w == 0:
633-
cropped_img[
634-
50 : images.shape[1] + 50, 50:512, 0
635-
] = image[0 : images.shape[1], 0:462, 0]
636-
elif w == W - 1:
637-
cropped_img[
638-
50 : images.shape[1] + 50,
639-
0 : images.shape[2] - 412 * W - 50,
640-
0,
641-
] = image[
642-
0 : images.shape[1],
643-
w * 412 - 50 : images.shape[2],
644-
0,
645-
]
646-
else:
647-
cropped_img[50 : images.shape[1] + 50, :, 0] = image[
648-
0 : images.shape[1],
649-
w * 412 - 50 : (w + 1) * 412 + 50,
650-
0,
651-
]
652-
elif h == 0:
653-
if w == -1:
654-
cropped_img[
655-
50:512, 50 : images.shape[2] + 50, 0
656-
] = image[0:462, 0 : images.shape[2], 0]
657-
elif w == 0:
658-
cropped_img[50:512, 50:512, 0] = image[0:462, 0:462, 0]
659-
elif w == W - 1:
660-
cropped_img[
661-
50:512, 0 : images.shape[2] - 412 * W - 50, 0
662-
] = image[0:462, w * 412 - 50 : images.shape[2], 0]
663-
else:
664-
# cropped_img[50:512, :, 0] = image[0:462, w*412-50:(w+1)*412+50, 0]
665-
try:
666-
cropped_img[50:512, :, 0] = image[
667-
0:462, w * 412 - 50 : (w + 1) * 412 + 50, 0
668-
]
669-
except:
670-
cropped_img[
671-
50:512,
672-
0 : images.shape[2] - 412 * (W - 1) - 50,
673-
0,
674-
] = image[
675-
0:462, w * 412 - 50 : (w + 1) * 412 + 50, 0
676-
]
677-
elif h == H - 1:
678-
if w == -1:
679-
cropped_img[
680-
0 : images.shape[1] - 412 * H - 50,
681-
50 : images.shape[2] + 50,
682-
0,
683-
] = image[
684-
h * 412 - 50 : images.shape[1],
685-
0 : images.shape[2],
686-
0,
687-
]
688-
elif w == 0:
689-
cropped_img[
690-
0 : images.shape[1] - 412 * H - 50, 50:512, 0
691-
] = image[h * 412 - 50 : images.shape[1], 0:462, 0]
692-
elif w == W - 1:
693-
cropped_img[
694-
0 : images.shape[1] - 412 * H - 50,
695-
0 : images.shape[2] - 412 * W - 50,
696-
0,
697-
] = image[
698-
h * 412 - 50 : images.shape[1],
699-
w * 412 - 50 : images.shape[2],
700-
0,
701-
]
702-
else:
703-
try:
704-
cropped_img[
705-
0 : images.shape[1] - 412 * H - 50, :, 0
706-
] = image[
707-
h * 412 - 50 : images.shape[1],
708-
w * 412 - 50 : (w + 1) * 412 + 50,
709-
0,
710-
]
711-
except:
712-
cropped_img[
713-
0 : images.shape[1] - 412 * H - 50,
714-
0 : images.shape[2] - 412 * (W - 1) - 50,
715-
0,
716-
] = image[
717-
h * 412 - 50 : images.shape[1],
718-
w * 412 - 50 : (w + 1) * 412 + 50,
719-
0,
720-
]
721-
else:
722-
if w == -1:
723-
cropped_img[:, 50 : images.shape[2] + 50, 0] = image[
724-
h * 412 - 50 : (h + 1) * 412 + 50,
725-
0 : images.shape[2],
726-
0,
727-
]
728-
elif w == 0:
729-
# cropped_img[:, 50:512, 0] = image[h*412-50:(h+1)*412+50, 0:462, 0]
730-
try:
731-
cropped_img[:, 50:512, 0] = image[
732-
h * 412 - 50 : (h + 1) * 412 + 50, 0:462, 0
733-
]
734-
except:
735-
cropped_img[
736-
0 : images.shape[1] - 412 * H - 50 + 412,
737-
50:512,
738-
0,
739-
] = image[
740-
h * 412 - 50 : (h + 1) * 412 + 50, 0:462, 0
741-
]
742-
elif w == W - 1:
743-
# cropped_img[:, 0:images.shape[2]-412*W-50, 0] = image[h*412-50:(h+1)*412+50, w*412-50:images.shape[2], 0]
744-
try:
745-
cropped_img[
746-
:, 0 : images.shape[2] - 412 * W - 50, 0
747-
] = image[
748-
h * 412 - 50 : (h + 1) * 412 + 50,
749-
w * 412 - 50 : images.shape[2],
750-
0,
751-
]
752-
except:
753-
cropped_img[
754-
0 : images.shape[1] - 412 * H - 50 + 412,
755-
0 : images.shape[2] - 412 * W - 50,
756-
0,
757-
] = image[
758-
h * 412 - 50 : (h + 1) * 412 + 50,
759-
w * 412 - 50 : images.shape[2],
760-
0,
761-
]
762-
else:
763-
# cropped_img[:, :, 0] = image[h*412-50:(h+1)*412+50, w*412-50:(w+1)*412+50, 0]
764-
try:
765-
cropped_img[:, :, 0] = image[
766-
h * 412 - 50 : (h + 1) * 412 + 50,
767-
w * 412 - 50 : (w + 1) * 412 + 50,
768-
0,
769-
]
770-
except:
771-
try:
772-
cropped_img[
773-
:,
774-
0 : images.shape[2] - 412 * (W - 1) - 50,
775-
0,
776-
] = image[
777-
h * 412 - 50 : (h + 1) * 412 + 50,
778-
w * 412 - 50 : (w + 1) * 412 + 50,
779-
0,
780-
]
781-
except:
782-
cropped_img[
783-
0 : images.shape[1] - 412 * (H - 1) - 50,
784-
:,
785-
0,
786-
] = image[
787-
h * 412 - 50 : (h + 1) * 412 + 50,
788-
w * 412 - 50 : (w + 1) * 412 + 50,
789-
0,
790-
]
791-
h = max(0, h)
792-
w = max(0, w)
793-
diveded_imgs[z * H * W + w * H + h] = cropped_img
794-
# print(z*H*W+ w*H+h)
795-
796-
return diveded_imgs
797-
798-
799-
def merge_imgs(imgs, original_image_shape):
800-
merged_imgs = np.zeros(
801-
(
802-
original_image_shape[0],
803-
original_image_shape[1],
804-
original_image_shape[2],
805-
1,
806-
),
807-
np.float32,
808-
)
809-
H = -(-original_image_shape[1] // 412)
810-
W = -(-original_image_shape[2] // 412)
811-
812-
for z in range(original_image_shape[0]):
813-
for h in range(H):
814-
for w in range(W):
815-
816-
if original_image_shape[1] < 412:
817-
h = -1
818-
if original_image_shape[2] < 412:
819-
w = -1
820-
821-
# print(z*H*W+ max(w, 0)*H+max(h, 0))
822-
if h == -1:
823-
if w == -1:
824-
merged_imgs[
825-
z,
826-
0 : original_image_shape[1],
827-
0 : original_image_shape[2],
828-
0,
829-
] = imgs[z * H * W + 0 * H + 0][
830-
50 : original_image_shape[1] + 50,
831-
50 : original_image_shape[2] + 50,
832-
0,
833-
]
834-
elif w == 0:
835-
merged_imgs[
836-
z, 0 : original_image_shape[1], 0:412, 0
837-
] = imgs[z * H * W + w * H + 0][
838-
50 : original_image_shape[1] + 50, 50:462, 0
839-
]
840-
elif w == W - 1:
841-
merged_imgs[
842-
z,
843-
0 : original_image_shape[1],
844-
w * 412 : original_image_shape[2],
845-
0,
846-
] = imgs[z * H * W + w * H + 0][
847-
50 : original_image_shape[1] + 50,
848-
50 : original_image_shape[2] - 412 * W - 50,
849-
0,
850-
]
851-
else:
852-
merged_imgs[
853-
z,
854-
0 : original_image_shape[1],
855-
w * 412 : (w + 1) * 412,
856-
0,
857-
] = imgs[z * H * W + w * H + 0][
858-
50 : original_image_shape[1] + 50, 50:462, 0
859-
]
860-
elif h == 0:
861-
if w == -1:
862-
merged_imgs[
863-
z, 0:412, 0 : original_image_shape[2], 0
864-
] = imgs[z * H * W + 0 * H + h][
865-
50:462, 50 : original_image_shape[2] + 50, 0
866-
]
867-
elif w == 0:
868-
merged_imgs[z, 0:412, 0:412, 0] = imgs[
869-
z * H * W + w * H + h
870-
][50:462, 50:462, 0]
871-
elif w == W - 1:
872-
merged_imgs[
873-
z, 0:412, w * 412 : original_image_shape[2], 0
874-
] = imgs[z * H * W + w * H + h][
875-
50:462,
876-
50 : original_image_shape[2] - 412 * W - 50,
877-
0,
878-
]
879-
else:
880-
merged_imgs[
881-
z, 0:412, w * 412 : (w + 1) * 412, 0
882-
] = imgs[z * H * W + w * H + h][50:462, 50:462, 0]
883-
elif h == H - 1:
884-
if w == -1:
885-
merged_imgs[
886-
z,
887-
h * 412 : original_image_shape[1],
888-
0 : original_image_shape[2],
889-
0,
890-
] = imgs[z * H * W + 0 * H + h][
891-
50 : original_image_shape[1] - 412 * H - 50,
892-
50 : original_image_shape[2] + 50,
893-
0,
894-
]
895-
elif w == 0:
896-
merged_imgs[
897-
z, h * 412 : original_image_shape[1], 0:412, 0
898-
] = imgs[z * H * W + w * H + h][
899-
50 : original_image_shape[1] - 412 * H - 50,
900-
50:462,
901-
0,
902-
]
903-
elif w == W - 1:
904-
merged_imgs[
905-
z,
906-
h * 412 : original_image_shape[1],
907-
w * 412 : original_image_shape[2],
908-
0,
909-
] = imgs[z * H * W + w * H + h][
910-
50 : original_image_shape[1] - 412 * H - 50,
911-
50 : original_image_shape[2] - 412 * W - 50,
912-
0,
913-
]
914-
else:
915-
merged_imgs[
916-
z,
917-
h * 412 : original_image_shape[1],
918-
w * 412 : (w + 1) * 412,
919-
0,
920-
] = imgs[z * H * W + w * H + h][
921-
50 : original_image_shape[1] - 412 * H - 50,
922-
50:462,
923-
0,
924-
]
925-
else:
926-
if w == -1:
927-
merged_imgs[
928-
z,
929-
h * 412 : (h + 1) * 412,
930-
0 : original_image_shape[2],
931-
0,
932-
] = imgs[z * H * W + 0 * H + h][
933-
50:462, 50 : original_image_shape[2] + 50, 0
934-
]
935-
elif w == 0:
936-
merged_imgs[
937-
z, h * 412 : (h + 1) * 412, 0:412, 0
938-
] = imgs[z * H * W + w * H + h][50:462, 50:462, 0]
939-
elif w == W - 1:
940-
merged_imgs[
941-
z,
942-
h * 412 : (h + 1) * 412,
943-
w * 412 : original_image_shape[2],
944-
0,
945-
] = imgs[z * H * W + w * H + h][
946-
50:462,
947-
50 : original_image_shape[2] - 412 * W - 50,
948-
0,
949-
]
950-
else:
951-
merged_imgs[
952-
z,
953-
h * 412 : (h + 1) * 412,
954-
w * 412 : (w + 1) * 412,
955-
0,
956-
] = imgs[z * H * W + w * H + h][50:462, 50:462, 0]
957-
958-
print(merged_imgs.shape)
959-
return merged_imgs

0 commit comments

Comments
 (0)