Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
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import cv2 # needs opencv-python https://pypi.org/project/opencv-python/ | |
from PIL import Image, ImageOps | |
from dataclasses import dataclass | |
@dataclass | |
class VideoStatus: | |
time: float = 0 | |
videoObject: cv2.VideoCapture = None | |
def __deepcopy__(self, memo): | |
return self |
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repos="" | |
sizes="" | |
name_lens="" | |
# Check if user is logged in | |
if ! aws sts get-caller-identity &> /dev/null; then | |
echo "ERROR: Seems like your SSO session is invalid. Please run" | |
printf "\n $ aws sso login\n\n" | |
echo "before you run the script." | |
exit 1 |
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decompose <- function(expr) { | |
expr <- substitute(expr) | |
funs <- setdiff(all.names(expr), all.vars(expr)) | |
wrapped <- list() | |
for (fun in funs) { | |
fun_env <- environment(get(fun, envir = parent.frame())) | |
if(is.null(fun_env)) | |
namespace <- "base" | |
else | |
namespace <- getNamespaceName(fun_env) |