Image Instant Segmentation
Image Segmentation instantly with 3 Line of codes:
Image Segmentation:
import pixellib
from pixellib.semantic import semantic_segmentation
import cv2
segment_image = semantic_segmentation()
segment_image.load_pascalvoc_model("pascal.h5")
output, segmap = segment_image.segmentAsPascalvoc("Testimage.jpg")
cv2.imwrite("img.jpg", output)
print(output.shape)
step 2:
import pixellib
from pixellib.semantic import semantic_segmentation
import cv2
segment_image = semantic_segmentation()
segment_image.load_pascalvoc_model("pascal.h5")
segmap, segoverlay = segment_image.segmentAsPascalvoc("Testimage.jpg", overlay= True)
cv2.imwrite("img.jpg", segoverlay)
print(segoverlay.shape)
Mask r-cnn:
code:
import pixellib
from pixellib.instance import instance_segmentation
segment_image = instance_segmentation()
segment_image.load_model("mask_rcnn_coco.h5")
segment_image.segmentImage("path_to_image", output_image_name = "output_image_path")
Step 2:
import pixellib
from pixellib.instance import instance_segmentation
import cv2
instance_seg = instance_segmentation()
instance_seg.load_model("mask_rcnn_coco.h5")
segmask, output = instance_seg.segmentImage("sample2.jpg")
cv2.imwrite("img.jpg", output)
print(output.shape)
Installation Prcoedure:
1.Python 3.6
2.pixellib
3.Openc 3.4.12
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