{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 3D Face Plot\n", "\n", "Attenzione visualization" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload 2\n", "import os\n", "from os.path import join\n", "import sys\n", "import time\n", "from random import randint\n", "import random\n", "\n", "import cv2 as cv\n", "import numpy as np\n", "import imutils\n", "import matplotlib.animation\n", "%matplotlib notebook\n", "from glob import glob\n", "from matplotlib import cbook\n", "from matplotlib import cm\n", "#from matplotlib.colors import LightSource\n", "import face_alignment\n", "import numpy as np\n", "\n", "from mpl_toolkits.mplot3d import Axes3D\n", "import matplotlib.pyplot as plt\n", "import mpl_toolkits.mplot3d.axes3d as p3\n", "from matplotlib import animation\n", "\n", "from skimage import io\n", "from tqdm import tqdm_notebook as tqdm\n", "from IPython.display import clear_output\n", "from pathlib import Path\n", "\n", "sys.path.append('/work/megapixels_dev/megapixels/')" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Generate random hex colors\n", "def rhex():\n", " r = lambda: random.randint(0,255)\n", " return '#%02X%02X%02X' % (r(), r(), r())" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# init 3d face\n", "# Run the 3D face alignment on a test image, without CUDA.\n", "fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._3D, device='cuda:0', flip_input=True)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "fp_im = '/data_store_hdd/datasets/people/vgg_face2/media/original/test/n000009/0012_01.jpg'\n", "im = cv.imread(fp_im)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "def generate_3d_face_plain(im, lm):\n", " preds = lm\n", " fig = plt.figure(figsize=plt.figaspect(.5))\n", " ax = fig.add_subplot(1, 2, 1)\n", " ax.imshow(im)\n", " ax.plot(preds[0:17,0],preds[0:17,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n", " ax.plot(preds[17:22,0],preds[17:22,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n", " ax.plot(preds[22:27,0],preds[22:27,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n", " ax.plot(preds[27:31,0],preds[27:31,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n", " ax.plot(preds[31:36,0],preds[31:36,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n", " ax.plot(preds[36:42,0],preds[36:42,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n", " ax.plot(preds[42:48,0],preds[42:48,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n", " ax.plot(preds[48:60,0],preds[48:60,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)\n", " ax.plot(preds[60:68,0],preds[60:68,1],marker='o',markersize=6,linestyle='-',color='w',lw=2) \n", " ax.axis('off')\n", "\n", " ax = fig.add_subplot(1, 2, 2, projection='3d')\n", " surf = ax.scatter(preds[:,0]*1.2,preds[:,1],preds[:,2],c=\"cyan\", alpha=1.0, edgecolor='b')\n", " ax.plot3D(preds[:17,0]*1.2,preds[:17,1], preds[:17,2], color='blue' )\n", " ax.plot3D(preds[17:22,0]*1.2,preds[17:22,1],preds[17:22,2], color='blue')\n", " ax.plot3D(preds[22:27,0]*1.2,preds[22:27,1],preds[22:27,2], color='blue')\n", " ax.plot3D(preds[27:31,0]*1.2,preds[27:31,1],preds[27:31,2], color='blue')\n", " ax.plot3D(preds[31:36,0]*1.2,preds[31:36,1],preds[31:36,2], color='blue')\n", " ax.plot3D(preds[36:42,0]*1.2,preds[36:42,1],preds[36:42,2], color='blue')\n", " ax.plot3D(preds[42:48,0]*1.2,preds[42:48,1],preds[42:48,2], color='blue')\n", " ax.plot3D(preds[48:,0]*1.2,preds[48:,1],preds[48:,2], color='blue' )\n", " \n", " # pad\n", " xmm = (np.min(lm[:,0]),np.max(lm[:,0]))\n", " ymm = (np.min(lm[:,1]),np.max(lm[:,1]))\n", " zmm = (np.min(lm[:,2]),np.max(lm[:,2]))\n", " \n", " print(xmm, ymm, zmm)\n", "# ax.set_xticks([])\n", "# ax.set_yticks([])\n", "# ax.set_zticks([])\n", " plt.setp( ax.get_xticklabels(), visible=False)\n", " plt.setp( ax.get_yticklabels(), visible=False)\n", " #ax.set_xlim(xmm[0]-50, xmm[1]+50)\n", " #ax.set_ylim(ymm[0]-50, ymm[1]+50)\n", " #ax.set_ylim(zmm[0]- .1*zmm[0],zmm[1] + .1*zmm[1])\n", " #ax.set_ylim(103, 275)\n", " #ax.set_zlim((-100,100))\n", " ax.view_init(elev=15., azim=135.)\n", "\n", " plt.show()" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "from app.utils import im_utils" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "im = cv.imread(fp_im)\n", "im_resized = im_utils.resize(im, width=300, height=300)\n", "im_rgb = cv.cvtColor(im, cv.COLOR_BGR2RGB)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "#import dlib\n", "from app.processors import face_detector" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "#face_detector = face_detector.DetectorDLIBCNN(gpu=0) # -1 for CPU\n", "face_detector = face_detector.DetectorCVDNN()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "detecting face...\n" ] } ], "source": [ "print('detecting face...')\n", "st = time.time()\n", "bboxes = face_detector.detect(im_resized, largest=True)\n", "bbox = bboxes[0].to_dim(im_resized.shape[:2][::-1])" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(72, 73, 197, 225)\n" ] } ], "source": [ "bbox = bbox.to_xyxy()\n", "print(bbox)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "points = fa.get_landmarks_from_image(im_resized, [bbox] )" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\n", "\n", "mpl.get_websocket_type = function() {\n", " if (typeof(WebSocket) !== 'undefined') {\n", " return WebSocket;\n", " } else if (typeof(MozWebSocket) !== 'undefined') {\n", " return MozWebSocket;\n", " } else {\n", " alert('Your browser does not have WebSocket support.' +\n", " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", " 'Firefox 4 and 5 are also supported but you ' +\n", " 'have to enable WebSockets in about:config.');\n", " };\n", "}\n", "\n", "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", " this.id = figure_id;\n", "\n", " this.ws = websocket;\n", "\n", " this.supports_binary = (this.ws.binaryType != undefined);\n", "\n", " if (!this.supports_binary) {\n", " var warnings = document.getElementById(\"mpl-warnings\");\n", " if (warnings) {\n", " warnings.style.display = 'block';\n", " warnings.textContent = (\n", " \"This browser does not support binary websocket messages. \" +\n", " \"Performance may be slow.\");\n", " }\n", " }\n", "\n", " this.imageObj = new Image();\n", "\n", " this.context = undefined;\n", " this.message = undefined;\n", " this.canvas = undefined;\n", " this.rubberband_canvas = undefined;\n", " this.rubberband_context = undefined;\n", " this.format_dropdown = undefined;\n", "\n", " this.image_mode = 'full';\n", "\n", " this.root = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(this.root);\n", "\n", " this._init_header(this);\n", " this._init_canvas(this);\n", " this._init_toolbar(this);\n", "\n", " var fig = this;\n", "\n", " this.waiting = false;\n", "\n", " this.ws.onopen = function () {\n", " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", " fig.send_message(\"send_image_mode\", {});\n", " if (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", " }\n", " fig.send_message(\"refresh\", {});\n", " }\n", "\n", " this.imageObj.onload = function() {\n", " if (fig.image_mode == 'full') {\n", " // Full images could contain transparency (where diff images\n", " // almost always do), so we need to clear the canvas so that\n", " // there is no ghosting.\n", " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", " }\n", " fig.context.drawImage(fig.imageObj, 0, 0);\n", " };\n", "\n", " this.imageObj.onunload = function() {\n", " fig.ws.close();\n", " }\n", "\n", " this.ws.onmessage = this._make_on_message_function(this);\n", "\n", " this.ondownload = ondownload;\n", "}\n", "\n", "mpl.figure.prototype._init_header = function() {\n", " var titlebar = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", " return false;\n", " });\n", "\n", " function set_focus () {\n", " canvas.focus();\n", " canvas_div.focus();\n", " }\n", "\n", " window.setTimeout(set_focus, 100);\n", "}\n", "\n", "mpl.figure.prototype._init_toolbar = function() {\n", " var fig = this;\n", "\n", " var nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\n", " for(var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('tabindex', 0)\n", " // reach out to IPython and tell the keyboard manager to turn it's self\n", " // off when our div gets focus\n", "\n", " // location in version 3\n", " if (IPython.notebook.keyboard_manager) {\n", " IPython.notebook.keyboard_manager.register_events(el);\n", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\n", "\n", "\n", "mpl.find_output_cell = function(html_output) {\n", " // Return the cell and output element which can be found *uniquely* in the notebook.\n", " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", " // IPython event is triggered only after the cells have been serialised, which for\n", " // our purposes (turning an active figure into a static one), is too late.\n", " var cells = IPython.notebook.get_cells();\n", " var ncells = cells.length;\n", " for (var i=0; i= 3 moved mimebundle to data attribute of output\n", " data = data.data;\n", " }\n", " if (data['text/html'] == html_output) {\n", " return [cell, data, j];\n", " }\n", " }\n", " }\n", " }\n", "}\n", "\n", "// Register the function which deals with the matplotlib target/channel.\n", "// The kernel may be null if the page has been refreshed.\n", "if (IPython.notebook.kernel != null) {\n", " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "(68.0, 201.0) (110.0, 225.0) (-61.021374, 41.419292)\n" ] } ], "source": [ "im = cv.imread(fp_im)\n", "im_rgb = cv.cvtColor(im, cv.COLOR_BGR2RGB)\n", "lm = fa.get_landmarks(im_rgb)[-1]\n", "generate_3d_face_plain(im_rgb, lm)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```\n", "\"RGB:0/51/153 (hexadecimal: 003399)\" for \"PANTONE REFLEX BLUE\" and \"RGB:255/204/0 (hexadecimal: FFCC00)\" for \"PANTONE YELLOW\" for the web palette (the limited 12\n", "```" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ " # line weight\n", "def generate_3d_face(lm, fp_out, num_frames=30, dpi=72, stroke_weight=0, size=(480,480),\n", " mark_size=2, mark_type='*', mark_clr=(0,255,0), fps=10, transparent=False):\n", " '''Generates 3D plot of face landmarks\n", " '''\n", " # convert opencv BGR numpy image to RGB\n", " bg_color = '#%02x%02x%02x' % (0,51,153)\n", " mark_clr = '#%02x%02x%02x' % (255,204,0)\n", " \n", " # scale to make larger\n", " #lm = np.array([1.2*x,y,z] for x,y,z in list(lm))\n", " \n", " # center x,y,z\n", " xmm = (np.min(lm[:,0]),np.max(lm[:,0]))\n", " ymm = (np.min(lm[:,1]),np.max(lm[:,1]))\n", " zmm = (np.min(lm[:,2]),np.max(lm[:,2]))\n", " \n", " # make copy of landmarks\n", " lm_orig = lm.copy()\n", " xmm = (np.min(lm_orig[:,0]),np.max(lm_orig[:,0]))\n", " ymm = (np.min(lm_orig[:,1]),np.max(lm_orig[:,1]))\n", " zmm = (np.min(lm_orig[:,2]),np.max(lm_orig[:,2]))\n", " \n", " # swap the y and z components to improve 3d rotation angles for matplotlib\n", " lm = np.zeros_like(lm_orig).astype(np.uint8)\n", " for i,p in enumerate(lm_orig):\n", " x,y,z = p\n", " lm[i] = np.array([x - xmm[0], z - zmm[0], y - ymm[0]])\n", " \n", " # Create plot\n", " figsize = (size[0]/dpi, size[1]/dpi )\n", " fig = plt.figure(figsize=figsize, dpi=dpi) # frameon=False\n", " #fig.set_size_inches(100/100, 1, forward=False)\n", " fig.tight_layout()\n", " fig.subplots_adjust(left=0, bottom=0, right=1, top=1, wspace=None, hspace=None)\n", " ax = fig.add_subplot(111, projection='3d')\n", " ax.set_facecolor(bg_color) # background color\n", " \n", " xscale, yscale, zscale = (1.2, 1.0, 1.0)\n", " \n", " # scatter plot the dots\n", " # jaw line\n", " #mark_clr = '#%02x%02x%02x' % (0,255,0) # green\n", " ax.plot3D(lm[:17,0]*1.2,lm[:17,1], lm[:17,2],\n", " marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n", " # stage-right eyebrow\n", " #mark_clr = '#%02x%02x%02x' % (255,0,0) # green\n", " ax.plot3D(lm[17:22,0]*1.2,lm[17:22,1],lm[17:22,2],\n", " marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n", " # stage-left eyebrow\n", " #mark_clr = '#%02x%02x%02x' % (255,255,0) # yellow\n", " ax.plot3D(lm[22:27,0]*1.2,lm[22:27,1],lm[22:27,2], \n", " marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n", " # nose ridge\n", " #mark_clr = '#%02x%02x%02x' % (0,0,255) # blue\n", " ax.plot3D(lm[27:31,0]*1.2,lm[27:31,1],lm[27:31,2],\n", " marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n", " # nose-bottom\n", " #mark_clr = '#%02x%02x%02x' % (255,0,255) # magenta\n", " ax.plot3D(lm[31:36,0]*1.2,lm[31:36,1],lm[31:36,2],\n", " marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n", " # stage-left eye\n", " #mark_clr = '#%02x%02x%02x' % (0,255,255) # cyan\n", " px, py, pz = lm[36:42,0]*1.2,lm[36:42,1],lm[36:42,2]\n", " px = np.append(px, lm[36,0]*1.2)\n", " py = np.append(py, lm[36,1])\n", " pz = np.append(pz, lm[36,2])\n", " ax.plot3D(px, py, pz, marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n", " \n", " # stage-right eye\n", " #mark_clr = '#%02x%02x%02x' % (255,255,255) # white\n", " px, py, pz = lm[42:48,0]*1.2,lm[42:48,1],lm[42:48,2]\n", " px = np.append(px, lm[42,0]*1.2)\n", " py = np.append(py, lm[42,1])\n", " pz = np.append(pz, lm[42,2])\n", " ax.plot3D(px, py, pz, marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)\n", " \n", " # mouth\n", " #mark_clr = '#%02x%02x%02x' % (255,125,0) # orange?\n", " px, py, pz = lm[48:,0]*1.2,lm[48:,1],lm[48:,2]\n", " px = np.append(px, lm[48,0]*1.2)\n", " py = np.append(py, lm[48,1])\n", " pz = np.append(pz, lm[48,2])\n", " ax.plot3D(px, py, pz, marker=mark_type, markersize=mark_size, color=mark_clr, linewidth=stroke_weight)\n", " \n", " rh = '#00ff00' # edge color\n", " #ax.scatter(lm[:,0]*xscale,lm[:,1]*yscale,lm[:,2]*zscale, c=rh, alpha=1.0, s=35, edgecolor=rh)\n", " #ax.scatter(lm[:,0]*xscale,lm[:,1]*yscale,lm[:,2]*zscale, c=rh, alpha=1.0, s=1)\n", " \n", " # center center x,y,z points\n", " cx = ((xmm[0] - xmm[1]) // 2) + xmm[1]\n", " cy = ((ymm[1] - ymm[0]) // 2) + ymm[0]\n", " cz = ((zmm[1] - zmm[0]) // 2) + zmm[0]\n", " \n", " # set initial plot view\n", " ax.view_init(elev=120., azim=70.)\n", " \n", " # remove ticks\n", " ax.set_xticks([])\n", " ax.set_yticks([])\n", " ax.set_zticks([])\n", " \n", " # remove axis\n", " ax.set_frame_on(False)\n", " ax.set_axis_off()\n", "\n", " # rotation increments: from 0 to 360 in num_frames\n", " phi = np.linspace(0, 2*np.pi, num_frames)\n", "\n", " def update(phi):\n", " ax.view_init(180,phi*180./np.pi)\n", " \n", " ani = matplotlib.animation.FuncAnimation(fig, update, frames=phi)\n", " savefig_kwargs = {'pad_inches': 0, 'transparent': transparent}\n", " ani.save(fp_out, writer='imagemagick', fps=fps, savefig_kwargs=savefig_kwargs)\n", " clear_output()" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "time: 0.0018\n", "Saved file to /home/adam/Downloads/0012_01.gif\n" ] } ], "source": [ "# filepaths\n", "dir_out = '/home/adam/Downloads/'\n", "fp_out = join(dir_out, '{}.gif'.format(Path(fp_im).stem))\n", "\n", "# generate 3D face\n", "st = time.time()\n", "generate_3d_face(lm,fp_out, num_frames=20, fps=10)\n", "print('time: {:.4f}'.format((time.time()-st)/1000))\n", "print(f'Saved file to {fp_out}')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from PIL import Image\n", "fp_in = '/home/adam/Downloads/3d.gif'\n", "im = Image.open(fp_in)\n", "im_frames = []\n", "duration = im.info['duration']\n", "print(duration)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "im = Image.open(fp_in)\n", "#im_frame = im.seek(1)\n", "im.seek(im.tell() + 1)\n", "mypalette = im.getpalette()\n", "im.putpalette(mypalette)\n", "\n", "im_jpg = Image.new(\"RGB\", im.size)\n", "im_jpg.paste(im)\n", "\n", "im_jpg.save('/home/adam/Downloads/test.jpg')\n", "print(im_jpg)\n", "#plt.imshow(im_jpg)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "im_jpg.getchannel(2)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plt.imshow(im_jpg)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import dlib" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "dlib.DLIB_USE_CUDA" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from app.settings import app_cfg as cfg" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:megapixels]", "language": "python", "name": "conda-env-megapixels-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.6" } }, "nbformat": 4, "nbformat_minor": 2 }