feat: live

.vscode/settings.json

@@ -11,5 +11,5 @@
       "source.organizeImports": true
     }
   },
-  "jupyter.jupyterServerType": "remote"
+  "jupyter.jupyterServerType": "local"
 }

src/live.py

@@ -0,0 +1,40 @@
+import subprocess
+
+import numpy as np
+import PIL
+import ppadb.client
+import ppadb.command.serial
+import ppadb.device
+import tensorflow
+from keras import models
+
+import utils
+
+RESIZED_SIZE = (100, 50, 3)
+LABELS = ['octane', 'werewolf', 'breakout', 'aftershock']
+
+# Load model
+model = models.load_model('../models/model')
+
+utils.startup(need_focus=False)
+
+running = True
+
+while running:
+    utils.screenshot(filename='live', folder='../models')
+    
+    # Lecture de l'image
+    img = PIL.Image.open('../models/live')
+
+    # print(f"img.size = {img.size}")
+
+    # Redimensionnement de l'image
+    img = img.resize(RESIZED_SIZE[:-1], PIL.Image.ANTIALIAS)
+
+    # print(f"img.size = {img.size}")
+
+    X = np.asarray(img)
+
+    Y = model.evaluate(X)
+    
+    print(f"Model detected : {LABELS[Y]}")

src/notebook.ipynb

@@ -549,6 +549,16 @@
     "\n",
     "plot_training_analysis()\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Save the weights\n",
+    "model.save('../models/model')"
+   ]
   }
  ],
  "metadata": {

src/utils.py

@@ -118,7 +118,7 @@ def start_scrpy() -> None:
     )
 
 
-def startup() -> None:
+def startup(need_focus=True) -> None:
     
     subprocess.call(("sudo modprobe v4l2loopback").split())
     
@@ -127,7 +127,7 @@ def startup() -> None:
     users = detect_game(device, users)
     start_game(device, users)
 
-    while not (is_zen_mode(device) and is_focused(device) and is_v4l2_loaded()):
+    while need_focus and not (is_zen_mode(device) and is_focused(device) and is_v4l2_loaded()):
         time.sleep(DELAY_DETECT)
 
     time.sleep(DELAY_DETECT)
@@ -135,11 +135,12 @@ def startup() -> None:
     start_scrpy()
 
 
-def screenshot() -> uuid.UUID:
+def screenshot(filename=None, folder=DATA_FOLDER) -> uuid.UUID:
+    if filename == None:
         filename = uuid.uuid1()
 
     subprocess.Popen(
-        f"ffmpeg -f video4linux2 -i /dev/video2 -frames:v 1 -filter:v crop=400:150:45:30 {DATA_FOLDER}/{filename}.jpg".split(),
+        f"ffmpeg -f video4linux2 -i /dev/video2 -frames:v 1 -filter:v crop=400:150:45:30 {folder}/{filename}.jpg".split(),
         stdout=subprocess.PIPE,
         stderr=subprocess.STDOUT,
     )