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for branch in `git branch -a | sed -n '\=/HEAD$=d; \=/master$=d;s= remotes/==p'`; do 
git branch --track ${branch##*/} $branch 
done

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git stash 把commit放入到一个list里面

git apply 可以多次使用

git pop 只能使用一次

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git checkout master
git reset --hard e3f1e37
git push --force origin master
# Then to prove it (it won't print any diff)
git diff master..origin/master

发表于 | 分类于 | 阅读次数:

读入是h, w;

x y 又是/w /h;

然后索引的时候又是y x mask[bdx, 0, miny: maxy+1, minx: maxx+1] = 1

为了避免下次再遇到这个错误，一律使用w1, h1。

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# -*- coding: utf-8 -*-

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import json
import numpy as np
import matplotlib.pyplot as plt
import scipy.io as matio
import os
import cv2
import torch
import matplotlib.patches as mpatches
from skimage import io


def load_mat(path):
    with open(path) as f:
        mat = matio.loadmat(f)
    return mat

def create_patch(pos):
    xy = (pos[0], pos[1])
    w = pos[2] - pos[0]
    h = pos[3] - pos[1]
    return mpatches.Rectangle(xy, w, h, alpha=0.7)

def create_circle(xy):
    x = xy[0]
    y = xy[1]
    return mpatches.Circle((x,y), radius=5)

def rescale_bbox(bbox):
    midx = (bbox[0] + bbox[2]) / 2.0
    midy = (bbox[1] + bbox[3]) / 2.0
    w = bbox[2] - bbox[0]
    h = bbox[3] - bbox[1]
    s = 1.25
    w *= s
    h *= s
    return [midx - w / 2.0, midy - h / 2.0, 
            midx + w / 2.0, midy + h / 2.0]

def revert_img(img):
    mean=[0.485, 0.456, 0.406]
    std=[0.229, 0.224, 0.225]
    img = img * std + mean
    img *= 255
    img = np.clip(img, 0, 255)
    return img

def get_max(a1, a2):
    return max(np.max(a1), np.max(a2))

def get_min(a1, a2):
    return min(np.min(a1), np.min(a2))

fig, ax1 = plt.subplots(figsize=(6,6))
ax1.imshow(heatmap)
p1 = create_patch(p_bbox)
p2 = create_patch(p_corner)
ax1.add_patch(p1)
ax1.add_patch(p2)

fig, ax2 = plt.subplots(figsize=(6,6))
ax2.imshow(heatmap)
c1 = create_circle([p1x, p1y])
c2 = create_circle([p2x, p2y])
ax2.add_patch(c1)
ax2.add_patch(c2)

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plt.imshow(img, cmap ='gray')
plt.imshow(img, cmap = plt.cm.gray)
plt.imshow(img, cmap = plt.cm.gray_r)