Develop Reference

No response on keydown when using requestAnimationFrame in React.js

I have been trying to create a little animation on canvas using React.js.
I expect the red block inside the canvas to go up and drop back down when I hit my spacebar by decreasing the velocity so that it will execute the if statement I have got and pull it back down, but so far it's not working. I can see the velocity value did change and it did execute the if statement when I console.log, it doesn't seem like showing on the animation.
const { useRef, useEffect, useState } = React;
const Canvas = () => {
const { innerWidth: innerwidth, innerHeight: innerheight } = window;
const contextRef = useRef()
const [position, setPosition] = useState({ x: 100, y: 100 })
const [size, setSize] = useState({ width: 30, height: 30 })
const [velocity, setVelocity] = useState({ x: 0, y: 0 })
const gravity = 4.5
const draw = (context) => {
context.fillStyle = 'red'
context.fillRect(position.x, position.y, size.width, size.height);
};
const update = (context, canvas) => {
draw(context)
setPosition({ x:position.x, y:position.y += velocity.y })
if (position.y + size.height +velocity.y <= canvas.height) {
setVelocity({ x:velocity.x, y: velocity.y += gravity })
} else {
setVelocity({ x:velocity.x, y: velocity.y = 0 })
}
}
const animate = (context, width, height, canvas) => {
requestAnimationFrame(() => {
animate(context, width, height, canvas )
})
context.clearRect(0, 0, width, height)
update(context, canvas)
}
useEffect(() => {
const canvas = contextRef.current;
const context = canvas.getContext("2d");
canvas.width = innerwidth - 2
canvas.height = innerheight - 2
animate(context, canvas.width, canvas.height, canvas)
}, []);
const handleKeydown = (e) => {
switch(e.keyCode) {
case 37:
console.log(velocity)
return "left";
case 39:
return "right";
case 32:
setVelocity({ x:velocity.x, y:velocity.y -= 50 });
console.log(velocity)
break
default:
console.log("keyCode is " + e.keyCode)
return 'default';
}
}
return (
<canvas ref={contextRef} tabIndex={-1} onKeyDown={(e) => {
handleKeydown(e)
}} />
);
};
const App = () => <Canvas />;
ReactDOM
.createRoot(document.getElementById("root"))
.render(<App />);
html, body { width: 100%; height: 100%; margin: 0; }
<div id="root"></div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/react/18.1.0/umd/react.development.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/react-dom/18.1.0/umd/react-dom.development.js"></script>
What can I try next?

You should wrap some of your function in a useCallback so that they are not redefined on each render.
Also, I would use key instead of keyCode.
const { useCallback, useEffect, useState, useRef } = React;
const gravity = 4.5;
const Canvas = () => {
const { innerWidth: innerwidth, innerHeight: innerheight } = window;
const canvasRef = useRef();
const [position, setPosition] = useState({ x: 100, y: 100 });
const [size, setSize] = useState({ width: 30, height: 30 });
const [velocity, setVelocity] = useState({ x: 0, y: 0 });
const draw = useCallback((context) => {
context.fillStyle = 'red';
context.fillRect(position.x, position.y, size.width, size.height);
}, [position, size]);
const update = useCallback((context, canvas) => {
draw(context)
setPosition({ x: position.x, y: position.y += velocity.y })
if (position.y + size.height + velocity.y <= canvas.height) {
setVelocity({ x: velocity.x, y: velocity.y += gravity })
} else {
setVelocity({ x:velocity.x, y: velocity.y = 0 })
}
}, [position, size, velocity]);
const animate = (context, width, height, canvas) => {
requestAnimationFrame(() => {
animate(context, width, height, canvas);
});
context.clearRect(0, 0, width, height);
update(context, canvas);
};
useEffect(() => {
const canvas = canvasRef.current;
const context = canvas.getContext('2d');
canvas.width= innerwidth - 10;
canvas.height= innerheight - 10;
animate(context, canvas.width, canvas.height, canvas)
}, []);
const handleKeyDown = useCallback(({ key }) => {
switch (key) {
case 'ArrowLeft':
break;
case 'ArrowRight':
break;
case ' ': // Spacebar
setVelocity({ x: velocity.x, y: velocity.y -= 50 });
console.log(velocity)
break
default:
console.log(`Unknown key: ${key}`);
}
}, []);
return (
<canvas
ref={canvasRef}
tabIndex={-1}
onKeyDown={handleKeyDown}
/>
);
};
const App = () => <Canvas />;
ReactDOM
.createRoot(document.getElementById("root"))
.render(<App />);
html, body, #root { width: 100%; height: 100%; margin: 0; }
<div id="root"></div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/react/18.1.0/umd/react.development.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/react-dom/18.1.0/umd/react-dom.development.js"></script>

react-native error: expected conv2d_input to have shape [null,32,32,1] but got array with shape [1,32,32,3]

I am making an app using react-native-expo.
We tried to recognize objects in conjunction with the camera with the trained model.
In order to use the existing Python code in react-native-expo, I tried to port the code to fit js.
But it wasn't as easy as I thought. please tell me how to solve it.
python
while True:
# READ IMAGE
success, imgOrignal = cap.read()
img = np.asarray(imgOrignal)
img = cv2.resize(img, (32, 32))
img = preprocessing(img)
cv2.imshow("Processed Image", img)
img = img.reshape(1, 32, 32, 1)
cv2.putText(imgOrignal, "CLASS: " , (20, 35), font, 0.75, (0, 0, 255), 2, cv2.LINE_AA)
cv2.putText(imgOrignal, "PROBABILITY: ", (20, 75), font, 0.75, (0, 0, 255), 2, cv2.LINE_AA)
predictions = model.predict(img)
classIndex = np.argmax(predictions[0])
probabilityValue =np.amax(predictions)
if probabilityValue > threshold:
cv2.putText(imgOrignal,str(classIndex)+" "+str(getCalssName(classIndex)), (120, 35), font, 0.75, (0, 0, 255), 2, cv2.LINE_AA)
cv2.putText(imgOrignal, str(round(probabilityValue*100,2) )+"%", (180, 75), font, 0.75, (0, 0, 255), 2, cv2.LINE_AA)
cv2.imshow("Result", imgOrignal)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cv2.destroyAllWindows()
react-native-expo
/* eslint-disable react-hooks/exhaustive-deps */
import React, { createRef, useCallback, useEffect, useState } from "react";
import { Platform, SafeAreaView, StyleSheet } from "react-native";
import * as tf from "#tensorflow/tfjs";
import {
bundleResourceIO,
cameraWithTensors,
} from "#tensorflow/tfjs-react-native";
import { Camera, CameraType } from "expo-camera";
const CAMERA_SIZE = { height: 640, width: 480 };
const App = () => {
const [signDetector, setSignDetector] = useState<tf.LayersModel>();
const TensorCamera = cameraWithTensors(Camera);
const tensorCameraRef = createRef<any>();
const textureDims =
Platform.OS === "ios"
? { height: 1920, width: 1080 }
: { height: 1200, width: 1600 };
useEffect(() => {
loadModel();
}, []);
const loadModel = useCallback(async () => {
const isAllowedCamera = fn_requestPermisison();
if (!isAllowedCamera) return;
console.log("[+] Application started");
//Wait for tensorflow module to be ready
await tf.ready();
console.log("[+] Loading custom mask detection model");
//Replce model.json and group1-shard.bin with your own custom model
const modelJson = await require("./assets/AIDatas/model.json");
const modelWeight = await require("./assets/AIDatas/group1-shard1of1.bin");
const newSignDetector = await tf.loadLayersModel(
bundleResourceIO(modelJson, modelWeight)
);
console.log("[+] Loading pre-trained face detection model");
console.log("summary", signDetector?.summary());
setSignDetector(newSignDetector);
console.log("[+] Model Loaded");
}, []);
const fn_estimateBlazeFace = async (tensorImage: any) => {
if (signDetector) {
const predictions: any = await signDetector.predict(tensorImage, {
batchSize: 3,
});
console.log(`[+] [${predictions}]`);
}
return true;
};
const fn_onReadyTensorCamera = async (
images: IterableIterator<tf.Tensor3D>
) => {
const loop = async () => {
if (signDetector !== undefined) {
const nextImageTensor = tf.image.resizeBilinear(
images.next().value,
[32, 32],
true
);
const expandedImageTensor = tf.expandDims(nextImageTensor, 0);
console.log("expandedImageTensor", expandedImageTensor);
await fn_estimateBlazeFace(expandedImageTensor)
.then((isEstimate) => {
console.log("result", isEstimate);
})
.catch((error) => {
console.log(error);
});
setTimeout(() => {
requestAnimationFrame(loop);
}, 20000);
}
};
loop();
};
const fn_requestPermisison = async () => {
const { status } = await Camera.requestCameraPermissionsAsync();
if (status !== "granted") {
console.log("The camera's permission request was not approved.");
return false;
}
return true;
};
return (
<SafeAreaView style={styles.container}>
<TensorCamera
ref={tensorCameraRef}
style={styles.camera}
type={CameraType.back}
cameraTextureHeight={textureDims.height}
cameraTextureWidth={textureDims.width}
resizeHeight={CAMERA_SIZE.height}
resizeWidth={CAMERA_SIZE.width}
resizeDepth={3}
autorender={true}
useCustomShadersToResize={false}
onReady={fn_onReadyTensorCamera}
/>
</SafeAreaView>
);
};
const styles = StyleSheet.create({
container: {
flex: 1,
},
camera: {
position: "absolute",
width: CAMERA_SIZE.width,
height: CAMERA_SIZE.height,
},
});
export default App;
;

to integrate fabric.js rectangle in react

import { fabric } from 'fabric';
const Canvas = () => {
const [canvas, setCanvas] = useState('');
useEffect(() => {
setCanvas(initCanvas());
}, []);
const initCanvas = () => (
new fabric.Canvas('canvas', {
height: 800,
width: 800,
})
);
const addRect = canvi => {
const rect = new fabric.Rect({
height: 280,
width: 200,
fill: 'yellow'
});
canvi.add(rect);
canvi.renderAll();
}
return(
<div>
<button onClick={() => addRect(canvas)}></button>
<br/><br/>
<canvas id="canvas" />
</div>
);
}
export default Canvas;
I want to display the rectangle without using the button and also to display its state on the browser
the onload event is also not working in the react I also tried to use the other alternative of onload but it's of no help

I'm also working on this if you want to add rect without button click you can add it into the useEffect.
const fuctionName = ()=>{
useEffect(() => {
return () => {
const canvas = new fabric.Canvas('canvas-main');
const rect = new fabric.Rect({
height: 280,
width: 200,
fill: 'yellow',
});
canvas.add(rect);
}
}, [])
return (
<>
<canvas
style={{ border: 'solid 1px #555' }}
id="canvas-main"
width="600px"
height="600px"
/>
</>
);
};

handling fast move of mouse on mousemove while resizinng an element

I want to have a resizeable modal only on height so I did write some code but while trying to grow it to the bottom because it's going fast and out of the element it doesn't have any impact, also I have seen codes like this but they work properly like this I don't know what I'm missing.
also, I want to ask; is it the right way of doing resizeable components in react? I did try to write it with states but I faced some problems like it was growing unexpectedly.
import React, { FC, useCallback, useMemo, useRef } from "react";
import { PrimitivesT } from "../Table/Table";
interface ModalProps {
children: JSX.Element | PrimitivesT;
display: boolean;
width: string;
height: string;
x?: number;
y?: number;
boxShadow?: boolean;
}
const Modal: FC<ModalProps> = ({
children,
display = false,
// initial height
height = "0",
width = "0",
x,
y,
boxShadow = true,
}) => {
const ref = useRef<HTMLDivElement>(null);
const styles = useMemo<React.CSSProperties>(
() => ({
display: display ? "block" : "none",
height: height,
width,
minHeight: "15px",
position: "absolute",
left: x,
top: y,
boxShadow: boxShadow ? "1px 1px 10px 5px var(--gray)" : undefined,
borderRadius: "5px",
backgroundColor: "white",
zIndex: 900,
}),
[display, height, width, x, y, boxShadow]
);
const bottomStyle = useMemo<React.CSSProperties>(
() => ({
cursor: "row-resize",
width: "100%",
position: "absolute",
bottom: "0",
left: "0",
height: "5px",
}),
[]
);
const onMouseDown =
useCallback((): React.MouseEventHandler<HTMLDivElement> => {
let y = 0;
let h = 60;
const onMouseMove = (e: MouseEvent) => {
const YDir = e.clientY - y;
if (ref.current) ref.current.style.height = `${h + YDir}px`;
};
const onMouseUp = () => {
try {
ref.current?.removeEventListener("mousemove", onMouseMove);
ref.current?.removeEventListener("mouseup", onMouseUp);
} catch (err) {
console.error(err);
}
};
return e => {
e.stopPropagation();
const bounding = ref.current?.getBoundingClientRect();
if (bounding?.height) h = bounding?.height;
y = e.clientY;
ref.current?.addEventListener("mousemove", onMouseMove);
ref.current?.addEventListener("mouseup", onMouseUp);
};
}, []);
return (
<div
ref={ref}
style={styles}
data-testid="Modal"
onMouseDown={e => e.stopPropagation()}>
{children}
<div style={bottomStyle} onMouseDown={onMouseDown()}></div>
</div>
);
};
export default Modal;

I think it didn't work that way because it's modal and it has to be fixed or absolute so I change the element that I was attaching event listeners instead of the resizeable target I used document object.
const onMouseDown =
useCallback((): React.MouseEventHandler<HTMLDivElement> => {
let y = 0;
let h = 60;
const onMouseMove = (e: MouseEvent) => {
const YDir = e.clientY - y;
if (ref.current) ref.current.style.height = `${h + YDir}px`;
};
const onMouseUp = () => {
try {
document.removeEventListener("mousemove", onMouseMove);
document.removeEventListener("mouseup", onMouseUp);
} catch (err) {
console.error(err);
}
};
return e => {
e.stopPropagation();
const bounding = ref.current?.getBoundingClientRect();
if (bounding?.height) h = bounding?.height;
y = e.clientY;
document.addEventListener("mousemove", onMouseMove);
document.addEventListener("mouseup", onMouseUp);
};
}, []);

Zoom restriction to a certain image size in react

Hello everyone we are building an app for a company. My task is to create an image crop feature for profile pictures. I am using the react-easy-crop library. I have implemented nearly all the features the only missing thing is zooming in to a certain pixel. Our company doesn't want users to be able to zoom in less than 600 X 600 pixels. What I meany by that is when users zoom in the image size can't be lower than 600 x 600 pixels. here is my code structure (Be aware this not the full code I have reduced it for complexity issues)
import React, { useEffect, useRef, useState, FC, useCallback, SetStateAction } from 'react';
import Cropper from 'react-easy-crop';
import Resizer from 'react-image-file-resizer';
import { Text, Button, DragAndDrop } from '#shared/components';
import { Modal } from '#shared/components/Modal/lazy';
import { getOrientation } from 'get-orientation';
import { COLOR_NAMES } from '#src/settings/colors.constants';
import { Icon } from '#src/shared/components/icon';
import { Centered } from '#src/shared/components/layout/centered';
import { useDispatch } from 'react-redux';
import { Flex } from 'rebass';
import { Dispatch } from 'redux';
import { ZoomAndApplyContainer, CropContainer } from '#app/shared/components/crop-image/styled';
import { FileValue } from '#shared/components/upload-single-document/interfaces';
import { UploadSingleImageProps } from '#app/shared/components/upload-single-image/interfaces';
import { CoverPicEditComponent, ImageUploadContainer, PicEditComponent } from '#app/shared/components/upload-single-image/styled';
import { MODAL_NAMES, MODAL_TYPES } from '#app/shared/store/constants/modal.constants';
import { ShowModalAC, HideModalAC } from '#app/shared/store/actions/modal.actions';
import { NumberOfBytesInOneMB, TOASTER_APPEARANCES } from '#app/shared/constants';
import { SetToastsActionCreator } from '#app/shared/store/actions/toast.actions';
import { validateFileType } from '#app/utils/validations';
import { PRIMARY } from '../button/button.constants';
import { FormikFieldErrorMessage } from '../formik-field/styled';
const readFile: any = (file: any) =>
new Promise((resolve: any) => {
const reader: any = new FileReader();
reader.addEventListener('load', () => resolve(reader.result), false);
reader.readAsDataURL(file);
});
const createImage: any = (url: any) =>
new Promise((resolve: any, reject: any) => {
const image: any = new Image();
image.addEventListener('load', () => resolve(image));
image.addEventListener('error', (error: any) => reject(error));
image.setAttribute('crossOrigin', 'anonymous'); // needed to avoid cross-origin issues on CodeSandbox
image.src = url;
});
const getRadianAngle: any = (degreeValue: any) => (degreeValue * Math.PI) / 180;
const ORIENTATION_TO_ANGLE: any = {
3: 180,
6: 90,
8: -90,
};
/**
* This function was adapted from the one in the ReadMe of https://github.com/DominicTobias/react-image-crop
* #param {File} image - Image File url
* #param {Object} pixelCrop - pixelCrop Object provided by react-easy-crop
* #param {number} rotation - optional rotation parameter
*/
const getCroppedImg: any = async (imageSrc: any, pixelCrop: any, rotation: any = 0) => {
const image: any = await createImage(imageSrc);
const canvas: any = document.createElement('canvas');
const ctx: any = canvas.getContext('2d');
const maxSize: any = Math.max(image.width, image.height);
const safeArea: any = 2 * ((maxSize / 2) * Math.sqrt(2));
// set each dimensions to double largest dimension to allow for a safe area for the
// image to rotate in without being clipped by canvas context
canvas.width = safeArea;
canvas.height = safeArea;
// translate canvas context to a central location on image to allow rotating around the center.
ctx.translate(safeArea / 2, safeArea / 2);
ctx.rotate(getRadianAngle(rotation));
ctx.translate(-safeArea / 2, -safeArea / 2);
// draw rotated image and store data.
ctx.drawImage(image, safeArea / 2 - image.width * 0.5, safeArea / 2 - image.height * 0.5);
const data: any = ctx.getImageData(0, 0, safeArea, safeArea);
// set canvas width to final desired crop size - this will clear existing context
canvas.width = pixelCrop.width;
canvas.height = pixelCrop.height;
// paste generated rotate image with correct offsets for x,y crop values.
ctx.putImageData(data, Math.round(0 - safeArea / 2 + image.width * 0.5 - pixelCrop.x), Math.round(0 - safeArea / 2 + image.height * 0.5 - pixelCrop.y));
// As Base64 string
// return canvas.toDataURL('image/jpeg');
// As a blob
return new Promise((resolve: any) => {
canvas.toBlob((file: any) => {
resolve(file);
}, 'image/jpeg');
});
};
const getRotatedImage: any = async (imageSrc: any, rotation: number = 0) => {
const image: any = await createImage(imageSrc);
const canvas: any = document.createElement('canvas');
const ctx: any = canvas.getContext('2d');
const orientationChanged: boolean = rotation === 90 || rotation === -90 || rotation === 270 || rotation === -270;
if (orientationChanged) {
canvas.width = image.height;
canvas.height = image.width;
} else {
canvas.width = image.width;
canvas.height = image.height;
}
ctx.translate(canvas.width / 2, canvas.height / 2);
ctx.rotate((rotation * Math.PI) / 180);
ctx.drawImage(image, -image.width / 2, -image.height / 2);
return new Promise((resolve: any) => {
canvas.toBlob((file: any) => {
resolve(URL.createObjectURL(file));
}, 'image/jpeg');
});
};
export const UploadSingleImage: FC<UploadSingleImageProps> = ({
setFieldValue,
setFieldTouched,
name,
extensionName,
width = '600',
height = '600',
errorMessage,
isDisabled,
fileId,
extension,
title,
validationRules,
isCoverPhoto,
customContainerCss,
onChange,
editIconName = 'edit',
onUploaded,
}: UploadSingleImageProps) => {
const [value, setValue]: [FileValue, React.Dispatch<SetStateAction<FileValue>>] = useState(null);
const [imgSrc, setImgSrc]: any = useState(null);
const [maxZoom, setMaxZoom]: any = useState(1);
const [rotation, setRotation]: any = useState(0);
const [crop, setCrop]: any = useState({ x: 0, y: 0 });
const [imageSendingFail, setImageSendingFail]: [boolean, React.Dispatch<SetStateAction<boolean>>] = useState(true);
const [zoom, setZoom]: any = useState(1);
const [croppedAreaPixels, setCroppedAreaPixels]: any = useState(null);
const showCroppedImage: any = useCallback(async () => {
try {
const cropedImage: any = await getCroppedImg(imgSrc, croppedAreaPixels, rotation);
Resizer.imageFileResizer(
cropedImage,
600,
600,
'JPEG',
100,
0,
(file: any) => {
onChange(file, setValue);
dispatch(HideModalAC(MODAL_NAMES.IMAGE_CROP_MODAL));
setImgSrc(null);
},
'blob'
);
} catch (e) {
console.error(e);
}
}, [imgSrc, croppedAreaPixels, rotation]);
const imageInput: React.MutableRefObject<HTMLInputElement> = useRef();
const dispatch: Dispatch = useDispatch();
const toast: any = useCallback((toasts: any) => dispatch(SetToastsActionCreator(toasts)), [dispatch]);
const onCropComplete: any = useCallback((croppedArea: any, croppedAreaPixel: any) => {
setCroppedAreaPixels(croppedAreaPixel);
}, []);
const handleFileDrop: any = (e: any) => {
const files: any = e.dataTransfer.files;
if (files && files.length === 1) {
validateImage(files[0]);
}
};
const onFileChange: any = async (e: any) => {
if (e.target.files && e.target.files.length === 1) {
const file: any = e.target.files[0];
validateImage(file);
}
};
const onClick: any = (e: any) => {
setZoom(1);
e.target.value = '';
};
const validateImage: (file: File) => void = async (file: any) => {
setImageSendingFail(false);
// const imageDataUrl: any = await readFile(file);
// setImgSrc(imageDataUrl);
if (setFieldTouched) {
setFieldTouched(name);
}
if (validateFileType(toast, validationRules?.fileTypes, file)) {
let imageDataUrl: any = await readFile(file);
const img: any = createImage(imageDataUrl);
if (!validationRules || validateImg(toast, validationRules, img, file)) {
const orientation: any = await getOrientation(file);
const rotationPortion: any = ORIENTATION_TO_ANGLE[orientation];
if (rotation) {
imageDataUrl = await getRotatedImage(imageDataUrl, rotationPortion);
}
setImgSrc(imageDataUrl);
dispatch(ShowModalAC(MODAL_NAMES.IMAGE_CROP_MODAL));
} else {
imageInput.current.value = '';
setImageSendingFail(true);
}
}
};
useEffect(() => {
if (fileId && extension) {
setValue({ fileId, extension });
}
}, [fileId, extension]);
useEffect(() => {
if (setFieldValue) {
setFieldValue(name, value?.fileId);
setFieldValue(extensionName, value?.extension);
}
if (onUploaded && value?.fileId) {
onUploaded(name, value);
}
}, [value?.fileId, value?.extension]);
return (
<Flex justifyContent={'center'} alignItems={'center'} flexDirection={'column'} css={{ height: '100%' }} name={name}>
{imgSrc && (
<Modal bodyCss={{ padding: 0 }} bodyHeight='90%' width={'70%'} height={'85%'} borderRadius={'4px'} modalId={MODAL_NAMES.IMAGE_CROP_MODAL} headingText={'Resmi Düzenle'} type={MODAL_TYPES.NORMAL}>
<CropContainer>
<div style={{ width: '80%', height: '70%', position: 'relative' }}>
<Cropper
image={imgSrc}
crop={crop}
zoom={zoom}
rotation={rotation}
aspect={1 / 1}
onCropChange={setCrop}
onCropComplete={onCropComplete}
onZoomChange={setZoom}
restrictPosition={false}
onRotationChange={setRotation}
minZoom={0.5}
maxZoom={maxZoom}
onMediaLoaded={(imageSize: any) => {
if (imageSize.naturalWidth > 600) {
setMaxZoom(600 / Math.max(imageSize.height, imageSize.width));
} else {
setMaxZoom(1);
}
console.log(imageSize);
}}
/>
</div>
<ZoomAndApplyContainer>
<input type='range' value={zoom} min={0.5} max={maxZoom} step={0.05} onChange={(e: any) => setZoom(e.target.value)} />
<input type='range' value={rotation} min={0} max={360} step={10} onChange={(e: any) => setRotation(e.target.value)} />
<Button button={PRIMARY} onClick={showCroppedImage}>
Upload
</Button>
</ZoomAndApplyContainer>
</CropContainer>
</Modal>
)}
<DragAndDrop handleDrop={handleFileDrop}>
<ImageUploadContainer customContainerCss={customContainerCss} url={fileId && extension && `${fileId}${extension}`} width={width} height={height} errorMessage={errorMessage}>
{value?.fileId && value?.extension && isCoverPhoto && !isDisabled && (
<CoverPicEditComponent>
<label htmlFor={name}>
<Icon margin={'auto'} name={'upload-white'} />
<Text color={COLOR_NAMES.REMAX_WHITE} customWeight={1}>
Yeni kapak fotoğrafı yükle
</Text>
</label>
</CoverPicEditComponent>
)}
{value?.fileId && value?.extension && !isCoverPhoto && !isDisabled && (
<PicEditComponent className='edit-icon-container' htmlFor={name}>
<Icon name={editIconName} />
</PicEditComponent>
)}
{!(value?.fileId && value?.extension) && (
<Centered css={{ flexDirection: 'column' }}>
<Text customSize={[2, 3, 3]} lineHeight={1} customWeight={1} color={COLOR_NAMES.REMAX_TEXT_GREY_7f7f7f} css={{ textAlign: 'center', width: '145px', paddingBottom: '12px' }}>
{title}
</Text>
<label htmlFor={name}>
<Text customSize={[2, 3, 3]} customWeight={1} color={COLOR_NAMES.REMAX_BLUE_SELECTED_1451EF} textDecoration={'underline'}>
Dosya Seç
</Text>
</label>
</Centered>
)}
<input id={name} ref={imageInput} name={name} type='file' onChange={onFileChange} onClick={onClick} />
</ImageUploadContainer>
</DragAndDrop>
{/* Eğer resim yok ve upload işlemi fail olduysa hata mesajı basılsın */}
{!value?.fileId && imageSendingFail && errorMessage && <FormikFieldErrorMessage elipsis={true}>{errorMessage}</FormikFieldErrorMessage>}
</Flex>
);
};
<script src="https://cdnjs.cloudflare.com/ajax/libs/react/16.6.3/umd/react.production.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/react-dom/16.6.3/umd/react-dom.production.min.js"></script>
here is my solution for the problem: this callback inside the cropper
onMediaLoaded={(imageSize: any) => {
if (imageSize.naturalWidth > 600) {
setMaxZoom(600 / Math.max(imageSize.height, imageSize.width));
} else {
setMaxZoom(1);
}
}}
<script src="https://cdnjs.cloudflare.com/ajax/libs/react/16.6.3/umd/react.production.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/react-dom/16.6.3/umd/react-dom.production.min.js"></script>
but this code doesn't ensure that I have a max zoom restriction that produces 600 x 600 in the end. (It works for some images but some others not. I would really appreciate any suggestion thanks in advance.

const onCropComplete: any = useCallback((croppedArea: any, croppedAreaPixel: any) => {
if(croppedAreaPixel.width < requiredWidth || croppedAreaPixel.height< requiredHeight){
/** do something here to disallow zoom
* this is a workaround
*/
}
setCroppedAreaPixels(croppedAreaPixel);
}, []);