zengyu714

/*
 * Copyright 2019 Amazon.com, Inc. or its affiliates.
 * Licensed under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

zengyu714

In your local clone of your forked repository, you can add the original GitHub repository as a "remote". ("Remotes" are like nicknames for the URLs of repositories - origin is one, for example.) Then you can fetch all the branches from that upstream repository, and rebase your work to continue working on the upstream version. In terms of commands that might look like:

Add the remote, call it "upstream":

git remote add upstream https://github.com/whoever/whatever.git

Fetch all the branches of that remote into remote-tracking branches, such as upstream/master:

git fetch upstream

zengyu714

# echo "Creating an SSH key for you..."
# ssh-keygen -t rsa
# setup github key following https://docs.github.com/en/authentication/connecting-to-github-with-ssh/adding-a-new-ssh-key-to-your-github-account

echo "Installing xcode-stuff"
xcode-select --install

# Check for Homebrew,
# Install if we don't have it
if test ! $(which brew); then

zengyu714

class DSU:
    """
    Disjoint set union with union-by-rank
    """
    def __init__(self, n):
        # may need to alter the total number, like (n + 1)
        self.parent = list(range(n))
        self.rank = [0] * n
        # count of dsu
        self.count = n

zengyu714

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zengyu714

import json

from pathlib import Path
from tqdm import tqdm
from itertools import groupby

train_data_root = Path('/data1/kimmyzeng/dataset/Detect_COCO/train/JPEGIMAGES')
train_json_file = Path('../data/Detect_COCO/train_instances.json')
trainall_odgt = Path('../data/Detect_COCO/odformat/vehicle_trainall.odgt')

zengyu714

zengyu714

from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes
from mpl_toolkits.axes_grid1.inset_locator import mark_inset

# E.g., plot focal loss
def focal_loss(p, gamma):
    return -np.power((1 - p), gamma) * np.log(p)
	
fig, ax = plt.subplots(figsize=[16, 5])
[ax.plot(xs, focal_loss(xs, g), label='$\gamma = {}$'.format(g)) for g in [0, 0.5, 1, 2, 5]]
ax.set_xlabel('')

zengyu714

import urllib
from tqdm import tqdm	

def check_profanity(filename='./notes.txt'):
    bad_words = []
    with open(filename, 'r') as notes:
        for line in notes:
            # See whether read words well
            for word in tqdm(line.split()):
                # Check profanity

zengyu714

# Fintune models while add some new modules.

class Customize(nn.Module):
    def __init__(self, pre_model):
        """Load the pretrained model, replace the last fc layers and add some new layers."""
        super(Customize, self).__init__()
        self.features = pre_model
        
        # If freeze previous weights
        # -------------------------------------------