optical_flow_attempt_2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import cv2\n",
    "import time\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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      "# []\n",
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      "point  (271, 159)\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "point  (271, 159)\n",
      "new point: [[-213.53710938  194.24053955]] old point [[-213.53710938  194.24053955]]\n",
      "point  (271, 159)\n",
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      "point  (271, 159)\n",
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      "point  (271, 159)\n",
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      "new point: [[-213.53710938  194.24053955]] old point [[-213.53710938  194.24053955]]\n",
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      "new point: [[-213.53710938  194.24053955]] old point [[-213.53710938  194.24053955]]\n",
      "point  (271, 159)\n",
      "new point: [[-213.53710938  194.24053955]] old point [[-213.53710938  194.24053955]]\n",
      "point  (271, 159)\n",
      "new point: [[-213.53710938  194.24053955]] old point [[-213.53710938  194.24053955]]\n",
      "point  (271, 159)\n",
      "new point: [[-213.53710938  194.24053955]] old point [[-213.53710938  194.24053955]]\n",
      "point  (271, 159)\n",
      "new point: [[-213.53710938  194.24053955]] old point [[-213.53710938  194.24053955]]\n"
     ]
    }
   ],
   "source": [
    "cap = cv2.VideoCapture(0)\n",
    "_, old_frame = cap.read()\n",
    "old_grey = cv2.cvtColor(old_frame, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "\n",
    "lk_params = dict(winSize = (10, 10),\n",
    "                 maxLevel = 100,\n",
    "                 criteria = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 30, 0.03))\n",
    "\n",
    "\n",
    "\n",
    "def select_point(event, x, y, flags, params):\n",
    "    global point, point_selected, old_points\n",
    "    \n",
    "    if event == cv2.EVENT_LBUTTONDOWN:\n",
    "        point = (x, y)\n",
    "        point_selected = True\n",
    "        old_points = np.array([[x,y]],dtype = np.float32)\n",
    "\n",
    "\n",
    "\n",
    "cv2.namedWindow('frame')\n",
    "cv2.setMouseCallback('frame', select_point)\n",
    "\n",
    "point_selected = False\n",
    "point = ()\n",
    "old_points = np.array([[]])\n",
    "print(\"#\",old_points)\n",
    "\n",
    "while True:\n",
    "    _,frame = cap.read()\n",
    "    grey_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
    "    #thresh = cv2.adaptiveThreshold(grey_frame,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY, 11, 2)\n",
    "        \n",
    "    if point_selected == True :\n",
    "        cv2.circle(frame, point, 5, (0, 0, 255), 2)\n",
    "        print(\"point \", point)\n",
    "        new_points, status, errors = cv2.calcOpticalFlowPyrLK(old_grey, grey_frame, old_points, None, **lk_params)\n",
    "        print(\"new point:\", new_points, \"old point\", old_points)\n",
    "        old_grey = grey_frame.copy()\n",
    "        old_points = new_points\n",
    "        \n",
    "        \n",
    "        x, y = new_points.ravel() \n",
    "        cv2.circle( frame, (x, y), 5, (0,0,255), -1)\n",
    "        \n",
    "    \n",
    "    cv2.imshow('frame', frame)\n",
    "    k = cv2.waitKey(1) & 0xff\n",
    "    if k == ord('q'):\n",
    "        break\n",
    "        \n",
    "        \n",
    "cap.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "[[1]]\n"
     ]
    }
   ],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "cap = cv2.VideoCapture(0)\n",
    "# Create old frame\n",
    "_, frame = cap.read()\n",
    "old_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
    "# Lucas kanade params\n",
    "lk_params = dict(winSize = (15, 15),\n",
    "                 maxLevel = 4,\n",
    "                 criteria = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 0.03))\n",
    "# Mouse function\n",
    "def select_point(event, x, y, flags, params):\n",
    "    global point, point_selected, old_points\n",
    "    if event == cv2.EVENT_LBUTTONDOWN:\n",
    "        point = (x, y)\n",
    "        point_selected = True\n",
    "        old_points = np.array([[x, y]], dtype=np.float32)\n",
    "cv2.namedWindow(\"Frame\")\n",
    "cv2.setMouseCallback(\"Frame\", select_point)\n",
    "point_selected = False\n",
    "point = ()\n",
    "old_points = np.array([[]])\n",
    "while True:\n",
    "    _, frame = cap.read()\n",
    "    gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
    "    if point_selected is True:\n",
    "        cv2.circle(frame, point, 5, (0, 0, 255), 2)\n",
    "        new_points, status, error = cv2.calcOpticalFlowPyrLK(old_gray, gray_frame, old_points, None, **lk_params)\n",
    "        print(status)\n",
    "        old_gray = gray_frame.copy()\n",
    "        old_points = new_points\n",
    "        x, y = new_points.ravel()\n",
    "        cv2.circle(frame, (x, y), 5, (0, 255, 0), -1)\n",
    "    cv2.imshow(\"Frame\", frame)\n",
    "    key = cv2.waitKey(1)\n",
    "    if key == 27:\n",
    "        break\n",
    "cap.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'dlib'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-14-d25f48e861da>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mdlib\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'dlib'"
     ]
    }
   ],
   "source": [
    "import dlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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