added color maps

frontend/src/App.vue

@@ -10,22 +10,43 @@ export default {
   components: {
     HelloWorld
   },
-  created(){
+  mounted(){
     var wsConnection = new WebSocket('ws://localhost:8080/get');
-wsConnection.onopen = (e) => {
-    console.log(`wsConnection open to 127.0.0.1:8080`, e);
-};
-wsConnection.onerror = (e) => {
-    console.error(`wsConnection error `, e);
-};
-wsConnection.onmessage = (e) => {
     var canvas = document.getElementById("main_canvas");
     var ctx = canvas.getContext("2d");
-    let data = JSON.parse(e.data)
 
-    ctx.fillStyle = "rgba("+data["color"]+","+data["color"]+","+data["color"]+","+(255)+")";
+    var colorpalettte = [
-    ctx.fillRect(data["y"], data["x"], 1, 1);
+        "#FFFFFF",
-};
+        "#E4E4E4",
+        "#888888",
+        "#222222",
+        "#FFA7D1",
+        "#E50000",
+        "#E59500",
+        "#A06A42",
+        "#E5D900",
+        "#94E044",
+        "#02BE01",
+        "#00D3DD",
+        "#0083C7",
+        "#0000EA",
+        "#CF6EE4",
+        "#820080"
+        ]
+
+    wsConnection.onopen = (e) => {
+        console.log(`wsConnection open`, e);
+    };
+    wsConnection.onerror = (e) => {
+        console.error(`wsConnection error `, e);
+    };
+    wsConnection.onmessage = (e) => {
+
+        let data = JSON.parse(e.data)
+
+        ctx.fillStyle = colorpalettte[parseInt(data["color"])];
+        ctx.fillRect(data["y"], data["x"], 1, 1);
+    };
   }
 }
 </script>
@@ -38,5 +59,9 @@ wsConnection.onmessage = (e) => {
   text-align: center;
   color: #2c3e50;
   margin-top: 60px;
+  
+}
+body{
+  background-color: grey;
 }
 </style>

go/util.go

@@ -53,7 +53,7 @@ func (img *image) SetPixel(message Message) int {
 		fmt.Printf("User %d tried accessing out of bounds \n", message.UserID)
 		return 1
 	}
-	if message.Color > 255 || message.Color < 0 {
+	if message.Color > 15 || message.Color < 0 {
 		fmt.Printf("User %d tried setting non existent color %d \n", message.UserID, message.Color)
 		return 1
 	}

python/clients.py

@@ -3,7 +3,7 @@
 import asyncio
 from dataclasses import dataclass
 import datetime
-
+from PIL import Image
 import json
 from multiprocessing import Pool
 import random
@@ -25,6 +25,39 @@ class pixel:
     timestamp: int
     userid: int
 
+def hex_to_rgb(h):
+    return tuple(int(h[i:i+2], 16) for i in (0, 2, 4))
+
+hex_colors = [
+        "#FFFFFF",
+        "#E4E4E4",
+        "#888888",
+        "#222222",
+        "#FFA7D1",
+        "#E50000",
+        "#E59500",
+        "#A06A42",
+        "#E5D900",
+        "#94E044",
+        "#02BE01",
+        "#00D3DD",
+        "#0083C7",
+        "#0000EA",
+        "#CF6EE4",
+        "#820080"
+        ]
+rgb_colors = [hex_to_rgb(h[1:]) for h in hex_colors]
+
+def eucleadian_distance(rgb1, rgb2):
+    if len(rgb1) != len(rgb2):
+        raise ValueError
+    sum_part = np.sum([(rgb1[i]-rgb2[i])**2 for i in range(len(rgb1))])
+    # return np.sqrt(sum_part) # technically correct, but we only care about rank not exact distance and sqrt is expensive
+    return sum_part
+
+def closest_match(rgb, color_map):
+    return min(range(len(rgb_colors)), key=lambda i: eucleadian_distance(rgb, color_map[i]))
+
 async def sender(img):
     async with websockets.connect("ws://localhost:8080/set") as websocket:
         while True:
@@ -33,7 +66,7 @@ async def sender(img):
             message = pixel(
                 x=rx,
                 y=ry,
-                color=int(sum(img[rx][ry])/3),
+                color= closest_match(img[rx][ry], rgb_colors),
                 timestamp=int(time.time()),
                 userid=1,
             )
@@ -46,17 +79,12 @@ async def sender(img):
 
 async def client():
     image = np.zeros(shape=[1000, 1000, 3], dtype=np.uint8)
-    colors = []
-    for name, hex in matplotlib.colors.cnames.items():
-        colors.append(matplotlib.colors.to_rgb(hex))
-
     async with websockets.connect("ws://localhost:8080/get") as websocket:
         i= 0
         while True:
             i+=1
             x = pixel(**json.loads(await websocket.recv()))
-            #image[x.x][x.y] = ([y*255 for y in colors[x.color]])
+            image[x.x][x.y] = rgb_colors[x.color]
-            image[x.x][x.y] = ((x.color, x.color, x.color))
             #if i% 5000 == 0:
             #    cv2.imshow("changes x", image)
             #    cv2.waitKey(10) & 0XFF
@@ -64,7 +92,9 @@ async def client():
             #print(i, x)
 
 async def main():
-    img=mpimg.imread('./1.jpg')
+    img= Image.open('./2.jpg')
+    img= img.resize((1000, 1000), Image.ANTIALIAS)
+    img = np.array(img)
     coros = [sender(img) for _ in range(100)]
     coros.append(client())
     returns = await asyncio.gather(*coros)