Read HPA images with jimp

convert_hpa_image_jimp.js

import {InferenceSession, Tensor} from  'onnxruntime-web';
import Jimp from 'jimp/es';

const COLORS =  ["red", "green", "blue", "yellow"]

async function handleRun(e) {
  e.preventDefault();
  // create an inference session, using WebGL backend. (default is 'wasm')
  const baseURL = 'https://images.proteinatlas.org/115/672_E2_1_'
  const imgTensor = new Float32Array(1024*1024*4)
  for(let c=0;c<COLORS.length;c++){
    let img = await Jimp.read(baseURL+COLORS[c]+'.jpg')
    img = img.resize(1024, 1024, Jimp.RESIZE_BILINEAR).greyscale()
    const data = img.bitmap.data
    for(let i=0;i<1024*1024;i++){
      imgTensor[c*1024*1024+i] = data[i*4]/255.0
    }
  }
  const session = await InferenceSession.create('./densenet_model_fixed_shape_casted2.onnx', { executionProviders: ['webgl'] });
  const imageTensor = new Tensor('float32', imgTensor, [1, 4, 1024, 1024]);
  const results = await session.run(imageTensor);
  console.log('===>', results)
}