Hello all... is there a way to close a contour if you have found say two points on each side top "extension"? see image attached. So in end desire a trapezoid type shape. Code example would be very appreciated. thank you :) Think I have it as a CGPath. So a way to edit a CGPath, or close the top from a top left to a top right point?
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Hola. At this point, I'm at my wit's end because I've tried EVERYTHING just to be able to play a single game on my Mac, but the new update makes it impossible.
So I'm just gonna ask for one game: I've been trying to play Stardew Valley, modded with SMAPI, for a week now. Despite playing the game with mods for almost 2 years, OS is refusing to open the game because SMAPI "contains malware". I tried reinstalling the mod, but no dice. It just automatically deletes the terminal and blocks the game from opening.
You can imagine my frustration because the mod has been 100% safe for 2 years. No option to "Open Anyway" in Security Settings, either. I have no say in this. I've tried code signing it in Terminal (three times). Also no dice. Followed these two forums.
https://www.reddit.com/r/StardewValley/comments/1h071jl/mac_deleted_stardew_modding_api_because_of_malware/
https://www.reddit.com/r/SMAPI/comments/1h0fgv9/solution_for_mac_malware_issue_with_smapi_417/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button
NOTHING. Please tell me there's a way to override this??? Just let me install malware on my computer!😭
Topic:
Graphics & Games
SubTopic:
General
I have a CoreImage pipeline and one of my steps is to rotate my image about the origin (bottom left corner) and then translate it. I'm not seeing the behaviour I'm expecting, and I think my problem is in how I'm combining these two steps.
As an example, I start with an identity transform
(lldb) po transform333
▿ CGAffineTransform
- a : 1.0
- b : 0.0
- c : 0.0
- d : 1.0
- tx : 0.0
- ty : 0.0
I then rotate 1.57 radians (approx. 90 degrees, CCW)
transform333 = transform333.rotated(by: 1.57)
- a : 0.0007963267107332633
- b : 0.9999996829318346
- c : -0.9999996829318346
- d : 0.0007963267107332633
- tx : 0.0
- ty : 0.0
I understand the current contents of the transform.
But then I translate by 10, 10:
(lldb) po transform333.translatedBy(x: 10, y: 10)
- a : 0.0007963267107332633
- b : 0.9999996829318346
- c : -0.9999996829318346
- d : 0.0007963267107332633
- tx : -9.992033562211013
- ty : 10.007960096425679
I was expecting tx and ty to be 10 and 10.
I have noticed that when I reverse the order of these operations, the transform contents look correct. So I'll most likely just perform the steps in what feels to me like the incorrect order.
Is anyone willing/able to point me to an explanation of why the steps I'm performing are giving me these results?
thanks,
mike
I have used the Mac M1 and M4.
Developing OpenGL projects on machines running macOS 15.2 and 13.6.
Call the OpenGL library functions of Mac.
glTexImage2D
If you use GL_LUMINANCE, GL_LUMINANCE_ALPHA, GL_ALPHA these three textures, you will get an error gl 500.
It makes me unable to draw normally on Mac.
What's the reason for this? Don't they support it?
Hi,
I'm working with a very simple app that tries to read a coordinates card and past the data into diferent fields. The card's layout is COLUMNS from 1-10, ROWs from A-J and a two digit number for each cell. In my app, I have field for each of those cells (A1, A2...). I want that OCR to read that card and paste the info but I just cant. I have two problems. The camera won't close. It remains open until I press the button SAVE (this is not good because a user could take 3, 4, 5... pictures of the same card with, maybe, different results, and then? Which is the good one?). Then, after I press save, I can see the OCR kinda works ( the console prints all the date read) but the info is not pasted at all.
Any idea? I know is hard to know what's wrong but I've tried chatgpt and all it does... just doesn't work
This is the code from the scanview
import SwiftUI
import Vision
import VisionKit
struct ScanCardView: UIViewControllerRepresentable {
@Binding var scannedCoordinates: [String: String]
var useLettersForColumns: Bool
var numberOfColumns: Int
var numberOfRows: Int
@Environment(.presentationMode) var presentationMode
func makeUIViewController(context: Context) -> VNDocumentCameraViewController {
let scannerVC = VNDocumentCameraViewController()
scannerVC.delegate = context.coordinator
return scannerVC
}
func updateUIViewController(_ uiViewController: VNDocumentCameraViewController, context: Context) {}
func makeCoordinator() -> Coordinator {
return Coordinator(self)
}
class Coordinator: NSObject, VNDocumentCameraViewControllerDelegate {
let parent: ScanCardView
init(_ parent: ScanCardView) {
self.parent = parent
}
func documentCameraViewController(_ controller: VNDocumentCameraViewController, didFinishWith scan: VNDocumentCameraScan) {
print("Escaneo completado, procesando imagen...")
guard scan.pageCount > 0, let image = scan.imageOfPage(at: 0).cgImage else {
print("No se pudo obtener la imagen del escaneo.")
controller.dismiss(animated: true, completion: nil)
return
}
recognizeText(from: image)
DispatchQueue.main.async {
print("Finalizando proceso OCR y cerrando la cámara.")
controller.dismiss(animated: true, completion: nil)
}
}
func documentCameraViewControllerDidCancel(_ controller: VNDocumentCameraViewController) {
print("Escaneo cancelado por el usuario.")
controller.dismiss(animated: true, completion: nil)
}
func documentCameraViewController(_ controller: VNDocumentCameraViewController, didFailWithError error: Error) {
print("Error en el escaneo: \(error.localizedDescription)")
controller.dismiss(animated: true, completion: nil)
}
private func recognizeText(from image: CGImage) {
let request = VNRecognizeTextRequest { (request, error) in
guard let observations = request.results as? [VNRecognizedTextObservation], error == nil else {
print("Error en el reconocimiento de texto: \(String(describing: error?.localizedDescription))")
DispatchQueue.main.async {
self.parent.presentationMode.wrappedValue.dismiss()
}
return
}
let recognizedStrings = observations.compactMap { observation in
observation.topCandidates(1).first?.string
}
print("Texto reconocido: \(recognizedStrings)")
let filteredCoordinates = self.filterValidCoordinates(from: recognizedStrings)
DispatchQueue.main.async {
print("Coordenadas detectadas después de filtrar: \(filteredCoordinates)")
self.parent.scannedCoordinates = filteredCoordinates
}
}
request.recognitionLevel = .accurate
let handler = VNImageRequestHandler(cgImage: image, options: [:])
DispatchQueue.global(qos: .userInitiated).async {
do {
try handler.perform([request])
print("OCR completado y datos procesados.")
} catch {
print("Error al realizar la solicitud de OCR: \(error.localizedDescription)")
}
}
}
private func filterValidCoordinates(from strings: [String]) -> [String: String] {
var result: [String: String] = [:]
print("Texto antes de filtrar: \(strings)")
for string in strings {
let trimmedString = string.replacingOccurrences(of: " ", with: "")
if parent.useLettersForColumns {
let pattern = "^[A-J]\\d{1,2}$" // Letras de A-J seguidas de 1 o 2 dígitos
if trimmedString.range(of: pattern, options: .regularExpression) != nil {
print("Coordenada válida detectada (letras): \(trimmedString)")
result[trimmedString] = "Valor" // Asignación de prueba
}
} else {
let pattern = "^[1-9]\\d{0,1}$" // Solo números, de 1 a 99
if trimmedString.range(of: pattern, options: .regularExpression) != nil {
print("Coordenada válida detectada (números): \(trimmedString)")
result[trimmedString] = "Valor"
}
}
}
print("Coordenadas finales después de filtrar: \(result)")
return result
}
}
}