TACIXAT

import cv2
import drawsvg
import argparse
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image, ImageDraw

def show_raster(im):
    im = cv2.cvtColor(im, cv2.COLOR_GRAY2RGB)
    plt.figure()

TACIXAT

Deep Learning "Quick" Start

Positioning - The industry is extremely young. Not a lot of companies are hiring for these things right now. If you can't find work right now in these areas, network and position yourself as the person who does the thing. When someone needs the thing, they will come talk to you.

Innovation - The industry is so young and there is a ton of opportunity. Training a model is not particularly difficult. Apply these tools seriously in your domain.

Intro Courses

I would recommend trying both of these and choosing one. Two different approaches that work for different people.

TACIXAT

OpenCLIP Throughput Benchmark (image embeddings per second)

This should give an idea of relative throughput of the models. I could not discern what would be fastest from the names alone.

This is just a speed test. Obviously the larger models will perform better on evaluation benchmarks at the tradeoff of speed. Find the models that meet your throughput requirements then benchmark those for performance on the task you are doing.

Tested on an NVIDIA RTX 3090. CPU is an AMD 7950x, though that should not affect the benchmark much.

Code

TACIXAT

"""Formats an sexpression for pretty printing."""

def format_sexpression(s, indent_level=0, indent_size=4):
    """ChatGPT + TACIXAT"""
    output = ""
    i = 0
    # Initialize to False to avoid newline for the first token
    need_newline = False
    cdepth = [] # Track colons
    while i < len(s):

TACIXAT

import cv2
from sklearn.cluster import KMeans
import matplotlib.pyplot as plt
import numpy as np
import random
import argparse

# big thanks to this answer for the sketch
# https://stackoverflow.com/a/63647647/1176872

TACIXAT

package main

import (
	"flag"
	"fmt"
	"go/ast"
	"go/parser"
	"go/token"
	"log"
)

TACIXAT

package main

import (
	"bytes"
	"crypto/hmac"
	"crypto/sha256"
	"encoding/hex"
	"encoding/json"
	// "mime/multipart"
	"errors"

TACIXAT

package main

import (
	"fmt"
	"os"

	"path/filepath"
	"strings"

	"crypto/sha256"

TACIXAT

package main

import (
	"fmt"
	"io"
	"io/ioutil"
	"os"
	"path/filepath"
	"runtime"
	"strings"

TACIXAT

#include <sys/stat.h>
#include <fcntl.h>
#include <stdio.h>
#include <stdlib.h>
#include <stddef.h>

void
fstat_filesize(const char *filename)
{
    int fd;