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Add screencap node

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kijai 2023-11-29 15:05:00 +02:00
parent b026acb17b
commit f542cdb950
1 changed files with 42 additions and 1 deletions
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43
nodes.py
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@ -2131,7 +2131,6 @@ class WidgetToString:
workflow = extra_pnginfo["workflow"]
results = []
for node in workflow["nodes"]:
print(node)
node_id = node["id"]
if node_id != id:
@ -2414,6 +2413,46 @@ class SplitBboxes:
return (bboxes_a, bboxes_b,)
from PIL import ImageGrab
class ImageGrabPIL:
@classmethod
def IS_CHANGED(cls):
return
RETURN_TYPES = ("IMAGE",)
RETURN_NAMES = ("image",)
FUNCTION = "screencap"
CATEGORY = "KJNodes/experimental"
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"x": ("INT", {"default": 0,"min": 0, "max": 4096, "step": 1}),
"y": ("INT", {"default": 0,"min": 0, "max": 4096, "step": 1}),
"width": ("INT", {"default": 512,"min": 0, "max": 4096, "step": 1}),
"height": ("INT", {"default": 512,"min": 0, "max": 4096, "step": 1}),
},
}
def screencap(self, x, y, width, height):
# Define the bounding box of the area you want to capture
bbox = (x, y, x + width, y + height)
# Capture the screen
screen_capture = ImageGrab.grab(bbox=bbox)
# Convert the PIL Image directly to a PyTorch tensor if that's the desired final format
screen_capture_torch = torch.tensor(np.array(screen_capture), dtype=torch.float32) / 255.0
screen_capture_torch = screen_capture_torch.unsqueeze(0) # Permute to have channel-first format and add batch dimension
return (screen_capture_torch,)
NODE_CLASS_MAPPINGS = {
"INTConstant": INTConstant,
"FloatConstant": FloatConstant,
@ -2457,6 +2496,7 @@ NODE_CLASS_MAPPINGS = {
"CreateMagicMask": CreateMagicMask,
"BboxToInt": BboxToInt,
"SplitBboxes": SplitBboxes,
"ImageGrabPIL": ImageGrabPIL
}
NODE_DISPLAY_NAME_MAPPINGS = {
"INTConstant": "INT Constant",
@ -2500,4 +2540,5 @@ NODE_DISPLAY_NAME_MAPPINGS = {
"CreateMagicMask": "CreateMagicMask",
"BboxToInt": "BboxToInt",
"SplitBboxes": "SplitBboxes",
"ImageGrabPIL": "ImageGrabPIL"
}