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edwin200311
commited on
Commit
•
64c746e
1
Parent(s):
d67972f
thkss
Browse files
app.py
CHANGED
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@@ -7,8 +7,6 @@ from PIL import Image
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import tensorflow as tf
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from transformers import SegformerFeatureExtractor, TFSegformerForSemanticSegmentation
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-
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feature_extractor = SegformerFeatureExtractor.from_pretrained(
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"mattmdjaga/segformer_b2_clothes"
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)
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@@ -16,7 +14,6 @@ model = TFSegformerForSemanticSegmentation.from_pretrained(
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"mattmdjaga/segformer_b2_clothes"
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)
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-
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def ade_palette():
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"""ADE20K palette that maps each class to RGB values."""
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return [
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@@ -40,7 +37,6 @@ def ade_palette():
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[67, 57, 91],
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]
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-
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labels_list = []
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with open(r'labels.txt', 'r') as fp:
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@@ -49,7 +45,6 @@ with open(r'labels.txt', 'r') as fp:
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colormap = np.asarray(ade_palette())
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def label_to_color_image(label):
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if label.ndim != 2:
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raise ValueError("Expect 2-D input label")
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@@ -58,7 +53,6 @@ def label_to_color_image(label):
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raise ValueError("label value too large.")
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return colormap[label]
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-
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def draw_plot(pred_img, seg):
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fig = plt.figure(figsize=(20, 15))
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@@ -80,7 +74,6 @@ def draw_plot(pred_img, seg):
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ax.tick_params(width=0.0, labelsize=25)
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return fig
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-
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def sepia(input_img):
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input_img = Image.fromarray(input_img)
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@@ -107,11 +100,11 @@ def sepia(input_img):
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fig = draw_plot(pred_img, seg)
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return fig
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demo = gr.Interface(fn=sepia,
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inputs=gr.Image(shape=(400, 600)),
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outputs=['plot'],
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examples=["person-1.jpg,person-2.jpg,person-3.jpg,person-4.jpg,person-5.jpg"],
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allow_flagging='never')
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demo.launch()
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import tensorflow as tf
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from transformers import SegformerFeatureExtractor, TFSegformerForSemanticSegmentation
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feature_extractor = SegformerFeatureExtractor.from_pretrained(
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"mattmdjaga/segformer_b2_clothes"
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)
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"mattmdjaga/segformer_b2_clothes"
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)
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def ade_palette():
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"""ADE20K palette that maps each class to RGB values."""
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return [
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[67, 57, 91],
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]
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labels_list = []
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with open(r'labels.txt', 'r') as fp:
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colormap = np.asarray(ade_palette())
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def label_to_color_image(label):
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if label.ndim != 2:
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raise ValueError("Expect 2-D input label")
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raise ValueError("label value too large.")
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return colormap[label]
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def draw_plot(pred_img, seg):
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fig = plt.figure(figsize=(20, 15))
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ax.tick_params(width=0.0, labelsize=25)
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return fig
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def sepia(input_img):
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input_img = Image.fromarray(input_img)
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fig = draw_plot(pred_img, seg)
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return fig
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demo = gr.Interface(fn=sepia,
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inputs=gr.Image(shape=(400, 600)),
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outputs=['plot'],
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examples=["person-1.jpg", "person-2.jpg", "person-3.jpg", "person-4.jpg", "person-5.jpg"],
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allow_flagging='never')
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+
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demo.launch()
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