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Runtime error
Davidzhangyuanhan
commited on
Commit
•
d22eaa3
1
Parent(s):
a58085c
Add application file
Browse files
app.py
CHANGED
@@ -2,7 +2,6 @@ import argparse
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import requests
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import gradio as gr
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import numpy as np
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import cv2
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import torch
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import torch.nn as nn
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from PIL import Image
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@@ -48,30 +47,6 @@ eval_transforms = build_transforms(224)
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'''
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borrow code from here: https://github.com/jacobgil/pytorch-grad-cam/blob/master/pytorch_grad_cam/utils/image.py
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'''
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def show_cam_on_image(img: np.ndarray,
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mask: np.ndarray,
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use_rgb: bool = False,
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colormap: int = cv2.COLORMAP_JET) -> np.ndarray:
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""" This function overlays the cam mask on the image as an heatmap.
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By default the heatmap is in BGR format.
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:param img: The base image in RGB or BGR format.
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:param mask: The cam mask.
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:param use_rgb: Whether to use an RGB or BGR heatmap, this should be set to True if 'img' is in RGB format.
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:param colormap: The OpenCV colormap to be used.
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:returns: The default image with the cam overlay.
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"""
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heatmap = cv2.applyColorMap(np.uint8(255 * mask), colormap)
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if use_rgb:
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heatmap = cv2.cvtColor(heatmap, cv2.COLOR_BGR2RGB)
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heatmap = np.float32(heatmap) / 255
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if np.max(img) > 1:
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raise Exception(
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"The input image should np.float32 in the range [0, 1]")
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cam = 0.7*heatmap + 0.3*img
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# cam = cam / np.max(cam)
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return np.uint8(255 * cam)
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def recognize_image(image, texts):
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img_t = eval_transforms(image)
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import requests
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import gradio as gr
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import numpy as np
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import torch
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import torch.nn as nn
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from PIL import Image
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'''
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borrow code from here: https://github.com/jacobgil/pytorch-grad-cam/blob/master/pytorch_grad_cam/utils/image.py
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'''
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def recognize_image(image, texts):
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img_t = eval_transforms(image)
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