zhangjun

/*自定义样式，实时生效*/

/* 全局属性
 * 页边距 padding: 30px;
 * 全文字体 font-family: ptima-Regular;
 * 英文换行 word-break: break-all;
 */
#nice {
  font-size: 14px;
  letter-spacing: 0.05em;

zhangjun

from dataclasses import dataclass
import threading, signal
import queue
import time

@dataclass
class JobTask:
    is_even: bool = False
    idx: int = 0
    tm: int = 0

zhangjun

My current favorite SD models

Warning

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WIP

zhangjun

#!/usr/bin/env python

"""Simple HTTP Server With Upload.
This module builds on BaseHTTPServer by implementing the standard GET
and HEAD requests in a fairly straightforward manner.
"""


__version__ = "0.2"
__all__ = ["SimpleHTTPRequestHandler"]

zhangjun

These commands are based on a askubuntu answer http://askubuntu.com/a/581497
To install gcc-6 (gcc-6.1.1), I had to do more stuff as shown below.
USE THOSE COMMANDS AT YOUR OWN RISK. I SHALL NOT BE RESPONSIBLE FOR ANYTHING.
ABSOLUTELY NO WARRANTY.

If you are still reading let's carry on with the code.

sudo apt-get update && \
sudo apt-get install build-essential software-properties-common -y && \
sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y && \

zhangjun

// clang gpu_compiler.m -fobjc-arc -fmodules -mmacosx-version-min=11.0 -framework Foundation -framework CoreGraphics -o gpu_compiler
#import <Foundation/Foundation.h>
#import <Metal/Metal.h>

void compile_to_gpu_code(id<MTLDevice> device, NSString *programString, NSString *destinationPath) {
    NSError *error;

    MTLCompileOptions *options = [MTLCompileOptions new];
    options.libraryType = MTLLibraryTypeDynamic;
    options.installName = [NSString stringWithFormat:@"@executable_path/userCreatedDylib.metallib"];

zhangjun

#include <iostream>

#ifdef _WIN32
// For __cpuid
#include <intrin.h>
#endif

#define uint32_t unsigned int

struct CPUID {

zhangjun

#include <vector>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>

namespace ImageUtils {
// imagenet preprocessing function
cv::Mat preprocess_image(cv::Mat image) {
  cv::Mat float_image;
  image.convertTo(float_image, CV_32FC3);