move examples from public to their own examples folder

2022-05-01 19:47:48 +03:00 · 2022-04-09 15:44:15 -05:00
parent 6d39e5b97b
commit 00d4277437
62 changed files with 224 additions and 19 deletions
--- a/pyscriptjs/examples/handtrack/say_hello.html
+++ b/pyscriptjs/examples/handtrack/say_hello.html
@@ -0,0 +1,122 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width,initial-scale=1" />
+
+    <title>Svelte app</title>
+
+    <link rel="icon" type="image/png" href="favicon.png" />
+    <link rel="stylesheet" href="../../build/pyscript.css" />
+    
+    <script defer src="../../build/pyscript.js"></script>
+  </head>
+
+  <body>
+    <py-script>
+from js import handTrack, setTimeout, requestAnimationFrame
+from pyodide import create_once_callable
+import asyncio
+
+context = canvas.element.getContext("2d")
+
+isVideo = False
+model = None
+
+modelParams = {
+  "flipHorizontal": True, # flip e.g for video
+  "maxNumBoxes": 20, # maximum number of boxes to detect
+  "iouThreshold": 0.5, # ioU threshold for non-max suppression
+  "scoreThreshold": 0.6, # confidence threshold for predictions.
+}
+
+def toggle_video(evt):
+  global isVideo
+  if (not isVideo):
+    update_note.write("Starting video")
+    pyscript.run_until_complete(start_video())
+  else:
+    update_note.write("Stopping video")
+    handTrack.stopVideo(video.element)
+    isVideo = False
+    update_note.write("Video stopped")
+  
+async def start_video():
+  global isVideo
+  update_note.write("Inside sstart video")
+  status = await handTrack.startVideo(video.element)
+  console.log("video started", status)
+  if status:
+    update_note.write("Video started. Now tracking")
+    isVideo = True
+    console.log( "Calling RUN DETECTION")
+    y = await run_detection()
+  else:
+    update_note.write( "Please enable video")
+
+def sync_run_detection(evt):
+  pyscript.run_until_complete(run_detection())
+
+async def run_detection():
+  console.log("in RUN DETECTION: ");
+  global model
+  global isVideo
+  
+  console.log("...1")
+  
+  predictions = await model.detect(video.element)
+  console.log("done...1")
+  console.log("Predictions: ", predictions);
+  model.renderPredictions(predictions, canvas.element, context, video.element);
+  console.log("is Video?", isVideo)
+  if (isVideo):
+    console.log("requestingAnimation!")
+    await requestAnimationFrame(create_once_callable(sync_run_detection));
+  console.log("...2")
+
+def run_detection_image(img):
+  console.log("in RUN DETECTION IMAGE", predictions);
+  global model
+  def detect(predition):
+    console.log("Predictions: ", predictions);
+    model.renderPredictions(predictions, canvas, context, img);
+  console.log("...3")
+  model.detect(img).then(detect)
+  console.log("...4")
+
+def handle_model(lmodel):
+  global model
+  model = lmodel
+  update_note.write("Loaded Model!")
+
+async def start():
+  console.log("creating x")
+  console.log("calling x")
+  model = await handTrack.load(modelParams)#.then(handle_model)
+  console.log("loaded model!")
+  console.log(model)
+  handle_model(model)
+  print(dir(x))
+  print(x)
+
+pyscript.run_until_complete(start())
+
+#});
+
+    </py-script>
+
+    <div class="mb10">
+      <button  id="trackbutton" class="bx--btn bx--btn--secondary" type="button" pys-onClick="toggle_video">
+        Toggle Video
+      </button>
+      <button id="nextimagebutton" class="mt10 bx--btn bx--btn--secondary" type="button" disabled>
+        Next Image
+      </button>
+      <div id="update-note" py-mount class="updatenote mt10">loading model ..</div>
+    </div>
+    <div>
+      <video autoplay="autoplay" id="myvideo" py-mount="video"></video>
+      <canvas id="canvas" py-mount class="border canvasbox"></canvas>
+    </div>
+    <script src="lib/handtrack.min.js"> </script>
+</html>