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import asyncio
import numpy as np
import urllib.request
import os
from PIL import Image
import winrt.windows.ai.machinelearning as winml
import winrt.windows.storage as storage
import winrt.windows.media as media
import winrt.windows.graphics.imaging as imaging
@ShichengChen
ShichengChen / xgboostregressiondemo.py
Last active October 6, 2023 14:58
xgboost regression demo
import numpy as np
# Toy dataset
X = np.array([1, 2, 3, 4, 5])
y = np.array([1, 2, 3, 4, 5])
# Initial prediction: mean of y (Predictor Function)
initial_prediction = np.mean(y)
y_pred = np.array([initial_prediction] * len(y))
@ShichengChen
ShichengChen / jobosaveme.js
Created October 2, 2022 11:22
jobosaveme.js
<script src="https://assets.crowd.aws/crowd-html-elements.js"></script>
<crowd-form
id="form"
>
<div id="errorBox"></div>
<crowd-keypoint
src="https://images.unsplash.com/photo-1605056545110-c2ef2253aa8c?ixid=MXwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHw%3D&ixlib=rb-1.2.1&auto=format&fit=crop&w=2507&q=80"
labels="['Ripe','qwe']"
- dataset publication
- readme modification following freihand readme
- dataset website update
- organize server problems list and share with new adminstrators
- proper documentation of the data recording setup and the annotation system
- write commends for anntation code
- record a screen video for how to use the annotation system
#include <iostream>
#include <map>
#include <unordered_map>
#include <list>
#include <utility>
#include <cassert>
using namespace std;
struct LRU{
const int maxn=2;
#include <bits/stdc++.h>
#include<ext/pb_ds/assoc_container.hpp>
typedef long long ll;
using namespace std;
using namespace __gnu_pbds;
#define lcnt (cnt<<1)
#define rcnt (cnt<<1|1)
#define vt vector
#define pb push_back
#define all(c) (c).begin(), (c).end()
#define debug(x) cout << '>' << #x << ':' << (x) << endl;
#define debug2(y,z) cout << '>' << #y << ':' << (y) << " " << #z << ":" <<(z) << endl;
@ShichengChen
ShichengChen / main.cpp
Last active August 31, 2019 08:36
ac
#include <iostream>
#include <algorithm>
#include <set>
#include <vector>
#include <cstring>
#include <queue>
#include <bits/stdc++.h>
#include <cstdio>
#include <stdio.h>
using namespace std;
@inproceedings{lin2017focal,
title={Focal loss for dense object detection},
author={Lin, Tsung-Yi and Goyal, Priya and Girshick, Ross and He, Kaiming and Doll{\'a}r, Piotr},
booktitle={Proceedings of the IEEE international conference on computer vision},
pages={2980--2988},
year={2017}
}