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tuo_demo.py
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tuo_demo.py
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import matplotlib.pyplot as plt
import matplotlib.pylab as pylab
import requests
from io import BytesIO
from PIL import Image
import numpy as np
from maskrcnn_benchmark.config import cfg
from predictor import COCODemo
pylab.rcParams['figure.figsize'] = 20, 12
def load(url):
"""
Given an url of an image, downloads the image and
returns a PIL image
"""
response = requests.get(url)
pil_image = Image.open(BytesIO(response.content)).convert("RGB")
# convert to BGR format
image = np.array(pil_image)[:, :, [2, 1, 0]]
return image
def imshow(img):
plt.imshow(img[:, :, [2, 1, 0]])
plt.axis("off")
if __name__ == '__main__':
image = load("http://farm3.staticflickr.com/2469/3915380994_2e611b1779_z.jpg")
import cv2
# image = cv2.imread("/home/lyh/dataset/lsp_dataset_original/images/im0021.jpg") # use local image
# imshow(image)
#config_file = "../configs/caffe2/e2e_mask_rcnn_R_50_FPN_1x_caffe2.yaml"
#config_file = "../configs/caffe2/e2e_mask_rcnn_R_50_C4_1x_caffe2.yaml"
config_file = "../configs/caffe2/e2e_faster_rcnn_R_50_C4_1x_caffe2.yaml"
#config_file = "../configs/caffe2/e2e_keypoint_rcnn_R_50_FPN_1x_caffe2.yaml"
# update the config options with the config file
cfg.merge_from_file(config_file)
# manual override some options
cfg.merge_from_list(["MODEL.DEVICE", "cuda"])
coco_demo = COCODemo(
cfg,
min_image_size=800,
confidence_threshold=0.7,
show_mask_heatmaps=False,
)
predictions = coco_demo.run_on_opencv_image(image)
imshow(predictions)
cv2.imshow("result", predictions)
cv2.waitKey()