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Upload 6 files
Browse files- .gitattributes +1 -0
- app.py +65 -0
- color.py +36 -0
- color_wheel.py +146 -0
- examples/image1.jpg +0 -0
- examples/image2.jpg +3 -0
- requirements.txt +6 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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examples/image2.jpg filter=lfs diff=lfs merge=lfs -text
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app.py
ADDED
@@ -0,0 +1,65 @@
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import gradio as gr
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import torch
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from transformers import DetrImageProcessor, DetrForObjectDetection
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from color import Color
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from color_wheel import ColorWheel
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from PIL import ImageDraw, ImageFont
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processor = DetrImageProcessor.from_pretrained('facebook/detr-resnet-50')
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model = DetrForObjectDetection.from_pretrained('facebook/detr-resnet-50')
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def process_image(image, margin):
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if image is None:
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yield [None, None, None]
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return
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color = Color.fromRgb(0xff, 0x0, 0x0)
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cwt = ColorWheel(color)
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colors = []
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for t in cwt.tone15:
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cw = ColorWheel(Color.fromRgb(t.r, t.g, t.b))
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for h in cw.hue:
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colors.append((h.r, h.g, h.b))
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inputs = processor(images=image, return_tensors='pt')
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outputs = model(**inputs)
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target_sizes = torch.tensor([image.size[::-1]])
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results = processor.post_process_object_detection(outputs, target_sizes=target_sizes, threshold=0.9)[0]
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index = 0
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gallery = []
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labels = []
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drawImage = image.copy()
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draw = ImageDraw.Draw(drawImage)
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for score, label, box in zip(results['scores'], results['labels'], results['boxes']):
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if index >= len(colors):
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break
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box = [round(i) for i in box.tolist()]
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box[0] = max(0, box[0] - margin)
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box[1] = max(0, box[1] - margin)
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box[2] = min(image.width, box[2] + margin)
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box[3] = min(image.height, box[3] + margin)
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draw.rectangle([(box[0], box[1]), (box[2], box[3])], outline=colors[index], width=4)
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gallery.append(image.crop((box[0], box[1], box[2], box[3])))
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labels.append(model.config.id2label[label.item()])
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index += 1
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yield [drawImage, gallery, ','.join(labels)]
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app = gr.Interface(
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title='Object Detection for Image',
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fn=process_image,
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inputs=[
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gr.Image(type='pil'),
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gr.Slider(maximum=100, step=1, label='margin'),
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],
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outputs=[
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gr.Image(label='boxes', type='pil'),
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gr.Gallery(label='gallery', columns=8, height=140),
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gr.Textbox(label='text'),
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],
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allow_flagging='never',
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examples=[['examples/image1.jpg', 0], ['examples/image2.jpg', 0]],
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#cache_examples=False
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)
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app.queue(concurrency_count=20)
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app.launch()
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color.py
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class Color:
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@property
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def a(self):
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return self._a
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@property
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def r(self):
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return self._r
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@property
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def g(self):
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return self._g
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@property
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def b(self):
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return self._b
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def __init__(self, a, r, g, b):
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self._a = a
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self._r = r
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self._g = g
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self._b = b
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@staticmethod
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def fromArgb(a, r, g, b):
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return Color(a, r, g, b)
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@staticmethod
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def fromRgb(r, g, b):
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return Color(0xff, r, g, b)
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def __eq__(self, other):
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return self.a == other.a and self.r == other.r and self.g == other.g and self.b == other.b
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def __str__(self):
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return 'ARGB({},{},{},{})'.format(self.a, self.r, self.g, self.b)
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color_wheel.py
ADDED
@@ -0,0 +1,146 @@
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import math
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from color import Color
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class ColorWheel:
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@property
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def baseColor(self):
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return self._baseColor
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@property
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def hue(self):
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return [
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self.baseColor, self.addH(1.0 / 12), self.addH(2.0 / 12), self.addH(3.0 / 12), self.addH(4.0 / 12), self.addH(5.0 / 12),
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self.addH(-6.0 / 12), self.addH(-5.0 / 12), self.addH(-4.0 / 12), self.addH(-3.0 / 12), self.addH(-2.0 / 12), self.addH(-1.0 / 12)
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]
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@property
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def tone(self):
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return [self.addWhite(-2.0 / 16), self.addWhite(-1.0 / 16), self.baseColor, self.addWhite(1.0 / 16), self.addWhite(2.0 / 16)]
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@property
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def tone15(self):
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return [self.addWhite(-7.0 / 16), self.addWhite(-6.0 / 16), self.addWhite(-5.0 / 16), self.addWhite(-4.0 / 16), self.addWhite(-3.0 / 16),
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self.addWhite(-2.0 / 16), self.addWhite(-1.0 / 16), self.baseColor, self.addWhite(1.0 / 16), self.addWhite(2.0 / 16),
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self.addWhite(3.0 / 16), self.addWhite(4.0 / 16), self.addWhite(5.0 / 16), self.addWhite(6.0 / 16), self.addWhite(7.0 / 16)]
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@property
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def complementaryColors(self):
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return [self.baseColor, self.addH(0.5)]
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@property
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def triadicColors(self):
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return [self.addH(-4.0 / 12), self.baseColor, self.addH(4.0 / 12)]
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@property
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def splitComplementaryColors(self):
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return [self.addH(-5.0 / 12), self.baseColor, self.addH(5.0 / 12)]
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@property
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def analogousColors(self):
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return [self.addH(-2.0 / 12), self.addH(-1.0 / 12), self.baseColor, self.addH(1.0 / 12), self.addH(2.0 / 12)]
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def __init__(self, c):
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self._baseColor = c
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self._r = c.r / 255.0
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self._g = c.g / 255.0
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self._b = c.b / 255.0
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@staticmethod
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def fromHsv(h, s, v):
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r, g, b = ColorWheel.hsvToRgb(h, s, v)
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c = Color.fromRgb(round(r * 255), round(g * 255), round(b * 255))
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return ColorWheel(c)
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def addWhite(self, value):
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r, g, b = (self._r + value, self._g + value, self._b + value)
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r = min(max(r, 0.0), 1.0)
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g = min(max(g, 0.0), 1.0)
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b = min(max(b, 0.0), 1.0)
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return self._fromRgb(r, g, b)
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def addH(self, value):
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h, s, v = ColorWheel.rgbToHsv(self._r, self._g, self._b)
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h = (h + value) % 1.0
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if h < 0.0:
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h += 1.0
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r, g, b = ColorWheel.hsvToRgb(h, s, v)
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return self._fromRgb(r, g, b)
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def addS(self, value):
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h, s, v = ColorWheel.rgbToHsv(self._r, self._g, self._b)
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s += value
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s = min(max(s, 0.0), 1.0)
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r, g, b = ColorWheel.hsvToRgb(h, s, v)
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return self._fromRgb(r, g, b)
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def addV(self, value):
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h, s, v = ColorWheel.rgbToHsv(self._r, self._g, self._b)
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v += value
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v = min(max(v, 0.0), 1.0)
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r, g, b = ColorWheel.hsvToRgb(h, s, v)
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return self._fromRgb(r, g, b)
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@staticmethod
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def rgbToHsv(r, g, b):
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if r < 0.0 or r > 1.0:
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raise ValueError()
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if g < 0.0 or g > 1.0:
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raise ValueError()
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if b < 0.0 or b > 1.0:
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raise ValueError()
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cmax = max(r, g, b)
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cmin = min(r, g, b)
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h = cmax - cmin
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if h > 0.0:
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if cmax == r:
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h = (g - b) / h
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if h < 0.0:
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h += 6.0
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elif cmax == g:
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h = 2.0 + (b - r) / h
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else:
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h = 4.0 + (r - g) / h
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h /= 6.0
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s = cmax - cmin
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if cmax != 0.0:
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s /= cmax
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v = cmax
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return h, s, v
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@staticmethod
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def hsvToRgb(h, s, v):
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if h < 0.0 or h > 1.0:
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raise ValueError()
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if s < 0.0 or s > 1.0:
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raise ValueError()
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if v < 0.0 or v > 1.0:
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raise ValueError()
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r = v
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g = v
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b = v
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if s > 0.0:
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h *= 6.0
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i = math.floor(h)
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f = h - i
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if i == 1:
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r *= 1 - s * f
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b *= 1 - s
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elif i == 2:
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r *= 1 - s
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b *= 1 - s * (1 - f)
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elif i == 3:
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r *= 1 - s
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g *= 1 - s * f
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elif i == 4:
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r *= 1 - s * (1 - f)
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g *= 1 - s
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elif i == 5:
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g *= 1 - s
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b *= 1 - s * f
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else:
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g *= 1 - s * (1 - f)
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b *= 1 - s
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return r, g, b
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def _fromRgb(self, r, g, b):
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return Color.fromArgb(self.baseColor.a, round(r * 255), round(g * 255), round(b * 255))
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examples/image1.jpg
ADDED
examples/image2.jpg
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Git LFS Details
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requirements.txt
ADDED
@@ -0,0 +1,6 @@
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1 |
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gradio
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2 |
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torch
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3 |
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torchvision
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4 |
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torchaudio
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5 |
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transformers
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6 |
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timm
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