cleaner saves

src/draw.py

@@ -17,8 +17,6 @@ Z = f(X - 2, Y) + f(X + 2, Y)
 Z = (Z > 0.4).astype(np.float32)
 Z *= np.random.rand(*Z.shape)
 
-
-start = np.array([-3.75, -0.25])
 for i, x in enumerate(x_vals):
     for j, y in enumerate(y_vals):
         color = f"{hex(int(Z[j, i] * 255))[2:]}"
@@ -27,7 +25,6 @@ for i, x in enumerate(x_vals):
         else:
             color = "#" + 3 * color
         plt.fill([x, x + 0.1, x + 0.1, x], [y, y, y + 0.1, y + 0.1], color=color)
-# plt.plot(start[0], start[1], "ro")
 
 nb_cams = 32
 cam_poses = np.array(
@@ -52,12 +49,12 @@ for i in range(nb_cams):
 plt.xlim(-7, 7)
 plt.ylim(-7, 7)
 plt.axis("equal")
-plt.show()
-
+plt.savefig("data/peanut/peanut.png", dpi=300, bbox_inches="tight", pad_inches=0, transparent=True)
+plt.close()
 
 # draw 1d image of the scene for each camera
 for i in range(13, 21):
-    plt.figure(f"cam {i}")
+
     # sort pixels by distance to camera
     cam_pose = cam_poses[i]
     pixels_dist = np.linalg.norm(np.array([X.flatten(), Y.flatten()]).T - cam_pose, axis=1)
@@ -66,14 +63,16 @@ for i in range(13, 21):
     x0 = -1
     x1 = 1
 
-    plt.fill([x0, x1, x1, x0], [0, 0, 0.2, 0.2], color="#003")
+    plt.figure(f"img{i}")
+    plt.fill([x0, x1, x1, x0], [0, 0, 0.2, 0.2], color="#000")
+    plt.figure(f"mask{i}")
+    plt.fill([x0, x1, x1, x0], [0, 0, 0.2, 0.2], color="#000")
 
     for j in pixels_sort:
         x, y = X.flatten()[j], Y.flatten()[j]
         color = f"{hex(int(Z.flatten()[j] * 255))[2:]}"
         if color == "0":
             continue
-        # color = "f"
         color = "#" + 3 * color
 
         px = np.array([[x, y, 1], [x + 0.1, y, 1], [x + 0.1, y + 0.1, 1], [x, y + 0.1, 1]]).T
@@ -83,28 +82,21 @@ for i in range(13, 21):
         x0 = px[1, :].min()
         x1 = px[1, :].max()
 
+        plt.figure(f"img{i}")
         plt.fill([x0, x1, x1, x0], [0, 0, 0.2, 0.2], color=color)
+        plt.figure(f"mask{i}")
+        plt.fill([x0, x1, x1, x0], [0, 0, 0.2, 0.2], color="#fff")
+
+    plt.figure(f"img{i}")
     plt.xlim(-1, 1)
     plt.ylim(0, 0.2)
     plt.axis("off")
-    plt.savefig(f"/tmp/Image{i:04}.png", dpi=300, bbox_inches="tight", pad_inches=0, transparent=True)
-    # plt.close()
+    plt.savefig(f"data/peanut/images/Image{i:04}.png", dpi=300, bbox_inches="tight", pad_inches=0, transparent=True)
+    plt.close()
 
-
-    RT = np.linalg.inv(cam2world_projs[i])[:-1, :]
-    proj = RT @ np.array([start[0], start[1], 1.0])
-    proj /= proj[0]
-    plt.plot(proj[1], 0.1, "ro")
-
-
-    plt.figure()
-    frame = cv2.imread(f"/tmp/Image{i:04}.png")
-    proj += np.array([0, 1.0])
-    proj *= 0.5 * np.array([1, frame.shape[1]])
-    proj = np.round(proj).astype(np.int32)
-    plt.imshow(frame, cmap="gray")
-    plt.plot(proj[1], frame.shape[0] / 2, "ro")
-
-    plt.show()
-
-# plt.show()
+    plt.figure(f"mask{i}")
+    plt.xlim(-1, 1)
+    plt.ylim(0, 0.2)
+    plt.axis("off")
+    plt.savefig(f"data/peanut/masks/Image{i:04}.png", dpi=300, bbox_inches="tight", pad_inches=0, transparent=True)
+    plt.close()