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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/mnt/pfs-gv8sxa/tts/dhg/wenzhangsun/.sun/envs/zqy/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total 4411 !!!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4411/4411 [00:00<00:00, 1058353.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total 4411 files is available\n",
      "4411\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "from model.model_AMD import AMDModel\n",
    "from model import get_attention_maps, clear_attention_maps, set_vis_atten_flag\n",
    "from safetensors.torch import load_model\n",
    "from diffusers.models import AutoencoderKL\n",
    "from dataset.dataset import AMDConsecutiveVideoDoubleRefBalance\n",
    "from torch.utils.data import DataLoader\n",
    "import torch\n",
    "from model.utils import find_latest_checkpoint, save_cfg, vae_encode, vae_decode, freeze, print_param_num, model_load_pretrain, save_videos_grid\n",
    "import matplotlib.pyplot as plt\n",
    "import torch.nn.functional as F\n",
    "from torchvision.utils import make_grid \n",
    "import numpy as np\n",
    "\n",
    "set_vis_atten_flag(True)\n",
    "\n",
    "amd_config = '/mnt/pfs-gv8sxa/tts/dhg/zqy/iccvexp/amd_ablation/amd-s-t1-d512-doubleref-mask/config.json'\n",
    "amd_ckpt = \"/mnt/pfs-gv8sxa/tts/dhg/zqy/iccvexp/amd_ablation/amd-s-t1-d512-doubleref-mask/checkpoints\" \n",
    "# '/mnt/pfs-mc0p4k/tts/team/digital_avatar_group/sunwenzhang/qiyuan/exp/newexp/amd_ablation/amd-s-t1-d512-doubleref-ablation/checkpoints'\n",
    "\n",
    "amd_ckpt = find_latest_checkpoint(amd_ckpt)\n",
    "amd_model = AMDModel.from_config(AMDModel.load_config(amd_config)).requires_grad_(False)\n",
    "load_model(amd_model,amd_ckpt)\n",
    "vae_version = '/mnt/pfs-gv8sxa/tts/dhg/zqy/model/sd-vae-ft-mse'\n",
    "vae = AutoencoderKL.from_pretrained(vae_version, subfolder=\"vae\").requires_grad_(False)\n",
    "datapath = \"/mnt/pfs-gv8sxa/tts/dhg/zqy/code/AMD2/dataset/txt/train_data_amd_hdtf.txt\"\n",
    "dataset = AMDConsecutiveVideoDoubleRefBalance(\n",
    "    video_dir=datapath,\n",
    "    ref_drop_ratio=0.0,\n",
    "    sample_size=256,\n",
    "    sample_stride=1,\n",
    "    sample_n_frames=16\n",
    ")\n",
    "\n",
    "dataloader = DataLoader(dataset, batch_size=1,num_workers=0, shuffle=True, collate_fn=dataset.collate_fn,pin_memory=True)\n",
    "device = torch.device(\"cuda:1\")\n",
    "dtype = torch.float32\n",
    "amd_model = amd_model.to(device=device, dtype=dtype)\n",
    "vae = vae.to(device, dtype)\n",
    "cnt = 0\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from model.utils import display_images\n",
    "for d in dataloader:\n",
    "    name = d['name']\n",
    "    video = d[\"videos\"].to(device=device, dtype=dtype)\n",
    "    ref_img = d[\"ref_img\"].to(device=device, dtype=dtype)\n",
    "    randomref_img = d[\"randomref_img\"].to(device=device, dtype=dtype)\n",
    "    cnt = cnt + 1\n",
    "    break\n",
    "print(name)\n",
    "print(video.shape)\n",
    "print(ref_img.shape)\n",
    "print(randomref_img.shape)\n",
    "# display_images(video,\"/mnt/pfs-gv8sxa/tts/dhg/zqy/code/AMD2/sample/temp\")\n",
    "clear_attention_maps()\n",
    "with torch.no_grad():\n",
    "    z = vae_encode(vae,video) # N,T,c,h,w\n",
    "    ref_img = vae_encode(vae,ref_img) # N,C,H,W\n",
    "    randomref_img = vae_encode(vae,randomref_img) if randomref_img is not None else None\n",
    "    time_step = torch.ones(size=(1,),device=device) * 1000\n",
    "    pre,gt,loss_dict = amd_model(z,ref_img,randomref_img=randomref_img,mask_ratio=0, time_step=time_step)   \n",
    "    loss = loss_dict['loss']\n",
    "print(loss)\n",
    "attention_maps = get_attention_maps()\n",
    "print(len(attention_maps))\n",
    "for i in range(len(attention_maps)):\n",
    "    attention_maps[i] = attention_maps[i].mean(dim=1) # mean all head\n",
    "    # attention_maps[i] = attention_maps[i].max(dim=1).values\n",
    "    print(attention_maps[i].shape)\n",
    "for l in range(12):\n",
    "    motion_img = attention_maps[l][:, -1:, :256].reshape(-1, 256)\n",
    "    motion_img = motion_img.reshape(-1, 1, 16, 16)\n",
    "    motion_img = F.interpolate(motion_img, size=(256, 256), mode='bilinear')\n",
    "    motion_img = make_grid(motion_img, nrow=16,padding=0, normalize=True).permute(1, 2, 0)\n",
    "    cmap = plt.get_cmap(\"jet\")\n",
    "    motion_img = cmap(motion_img.cpu().numpy()[...,0])[..., :3]\n",
    "    # fig = plt.figure(figsize=(160, 10))\n",
    "    # ax = fig.add_subplot(111)\n",
    "    # ax.imshow(motion_img.cpu().numpy(), cmap=\"viridis\") # first fram\n",
    "    video_grid = make_grid(video[0], nrow=16, padding=0).permute(1, 2, 0) / 2 + 0.5\n",
    "    video_grid = video_grid.cpu().numpy()\n",
    "    # fig = plt.figure(figsize=(160, 10))\n",
    "    # ax = fig.add_subplot(111)\n",
    "    # ax.imshow(video_grid.cpu().numpy() ) # first frame\n",
    "\n",
    "    weighted_video_grid = np.clip(0.4 * video_grid + 0.6 * motion_img, 0,1)\n",
    "    plt.imsave(f\"/mnt/pfs-gv8sxa/tts/dhg/zqy/code/AMD2/demo/attn_maps/{cnt}_{l}.png\",weighted_video_grid)\n",
    "    # fig = plt.figure(figsize=(160, 10))\n",
    "    # ax = fig.add_subplot(111)\n",
    "    # ax.imshow(weighted_video_grid) # first frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "last_attention_map = attention_maps[-1]\n",
    "# for am in last_attention_map:\n",
    "\n",
    "for am in attention_maps:\n",
    "    motion_img = am[:, -4:, :256].reshape(-1, 256)\n",
    "    motion_img = motion_img.reshape(-1, 1, 16, 16)\n",
    "    # print(motion_img)\n",
    "    motion_img = F.interpolate(motion_img, size=(256, 256), mode='bilinear')\n",
    "    motion_img = make_grid(motion_img, nrow=4, normalize=True).permute(1, 2, 0)\n",
    "    print(motion_img.shape)\n",
    "    fig = plt.figure(figsize=(10, 10))\n",
    "    ax = fig.add_subplot(111)\n",
    "    ax.imshow(motion_img.cpu().numpy(), cmap=\"viridis\") # first frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def save_img(video_tensor:torch.Tensor,output_path, num_frames=4):\n",
    "    # F C H W\n",
    "    f, c, h, w = video_tensor.shape\n",
    "    video_tensor = torch.clamp((video_tensor.detach().cpu() / 2 + 0.5) * 255, 0, 255).to(dtype=torch.uint8).numpy()\n",
    "    video_tensor = video_tensor[:num_frames]\n",
    "    video_tensor = video_tensor.transpose(2,0, 3, 1).reshape(h, num_frames * w, c)\n",
    "    plt.imsave(output_path, video_tensor)\n",
    "def sample_and_save(amd_model, vae, ref_img, randomref_img, motion, output_path, num_frames):\n",
    "\n",
    "    # _, pred, _ = amd_model.sample(z, ref_img, randomref_img=randomref_img, mask_ratio=0)\n",
    "    _, pred, _ = amd_model.sample_with_refimg_motion(ref_img = ref_img,\n",
    "                                                    motion = motion,\n",
    "                                                    randomref_img = randomref_img,\n",
    "                                                    sample_step=20) # n f d h w \n",
    "    pred = vae_decode(vae, pred)\n",
    "    save_img(pred[0], output_path, num_frames)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from torchvision.io import read_image\n",
    "from torchvision.io.image import ImageReadMode\n",
    "from torchvision.transforms import functional as F\n",
    "bfm_img = read_image(\"/mnt/pfs-gv8sxa/tts/dhg/zqy/code/AMD2/demo/head.png\", mode=ImageReadMode.RGB)\n",
    "bfm_img = F.resize(bfm_img, (256, 256)) / 255.0\n",
    "plt.imshow(bfm_img.permute(1, 2, 0))    \n",
    "bfm_img = F.normalize(bfm_img, .5, .5)\n",
    "bfm_img = bfm_img.unsqueeze(0).to(device=device, dtype=dtype)\n",
    "bfm_img = vae_encode(vae, bfm_img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "amd_config_wo_mask = '/mnt/pfs-mc0p4k/tts/team/digital_avatar_group/sunwenzhang/qiyuan/exp/newexp/amd_ablation/amd-s-t1-d512-doubleref-ablation/config.json'\n",
    "amd_ckpt_wo_mask = \"/mnt/pfs-mc0p4k/tts/team/digital_avatar_group/sunwenzhang/qiyuan/exp/newexp/amd_ablation/amd-s-t1-d512-doubleref-ablation/checkpoints\" \n",
    "amd_ckpt_wo_mask = find_latest_checkpoint(amd_ckpt_wo_mask)\n",
    "amd_model_wo_mask = AMDModel.from_config(AMDModel.load_config(amd_config_wo_mask)).requires_grad_(False)\n",
    "load_model(amd_model_wo_mask,amd_ckpt_wo_mask)\n",
    "amd_model_wo_mask = amd_model_wo_mask.to(device=device, dtype=dtype)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "r_cnt = 0\n",
    "generator = torch.Generator()\n",
    "generator.manual_seed(42)\n",
    "r_dataloader = DataLoader(dataset, batch_size=2,num_workers=0, shuffle=False, collate_fn=dataset.collate_fn,pin_memory=True, generator=generator)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "for d in r_dataloader:\n",
    "    r_name = d['name']\n",
    "    r_video = d[\"videos\"][:1].to(device=device, dtype=dtype)\n",
    "    r_ref_img = d[\"ref_img\"].to(device=device, dtype=dtype)\n",
    "    r_randomref_img = d[\"randomref_img\"].to(device=device, dtype=dtype)\n",
    "    r_cnt = r_cnt + 1\n",
    "    break\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "d0 = dataset[1]\n",
    "d1 = dataset[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([1, 16, 3, 256, 256])\n"
     ]
    }
   ],
   "source": [
    "# r_name = torch.stack([dataset[0]['name']])\n",
    "\n",
    "r_video = d0[\"videos\"].unsqueeze(0).to(device=device, dtype=dtype)\n",
    "r_ref_img = torch.stack([ d0[\"ref_img\"], d1[\"ref_img\"]], dim=0).to(device=device, dtype=dtype)\n",
    "r_randomref_img = torch.stack([d0[\"randomref_img\"], d1[\"randomref_img\"]],dim=0).to(device=device, dtype=dtype)\n",
    "print(r_video.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "* Warnning * diffusion_model_type:doubleref\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 20/20 [00:01<00:00, 10.73it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "* Warnning * diffusion_model_type:doubleref\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 20/20 [00:01<00:00, 10.68it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "* Warnning * diffusion_model_type:doubleref\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 20/20 [00:01<00:00, 10.78it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "* Warnning * diffusion_model_type:doubleref\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 20/20 [00:01<00:00, 10.73it/s]\n"
     ]
    }
   ],
   "source": [
    "r_cnt = 1\n",
    "mask_ratio = 0\n",
    "output_dir = f\"/mnt/pfs-gv8sxa/tts/dhg/zqy/code/AMD2/demo/subtitution_mask{mask_ratio}\"\n",
    "set_vis_atten_flag(False)\n",
    "z_vid = vae_encode(vae, r_video)\n",
    "with torch.no_grad():\n",
    "    ref_motion_wmask = amd_model.extract_motion(z_vid, mask_ratio=mask_ratio / 100.0) # n,f,l,d\n",
    "    ref_motion_womask = amd_model_wo_mask.extract_motion(z_vid)\n",
    "\n",
    "ref_img_origin = vae_encode(vae,r_ref_img[:1,0])\n",
    "ref_img_sub = vae_encode(vae,r_ref_img[-1:,0])\n",
    "randomref_img_origin = vae_encode(vae,r_randomref_img[:1,0])\n",
    "randomref_img_sub = vae_encode(vae,r_randomref_img[-1:,0])\n",
    "\n",
    "save_img(r_video[0], f\"{output_dir}/motion_{r_cnt}.png\", 16)\n",
    "save_img(r_ref_img[:1,0], f\"{output_dir}/origin_{r_cnt}.png\", 1)\n",
    "save_img(r_ref_img[-1:,0], f\"{output_dir}/sub_{r_cnt}.png\", 1)\n",
    "\n",
    "sample_and_save(amd_model, vae,  ref_img_origin, randomref_img_origin, ref_motion_wmask, f\"{output_dir}/origin_{r_cnt}_mask.png\", 16)\n",
    "sample_and_save(amd_model, vae,  ref_img_sub, randomref_img_sub, ref_motion_wmask, f\"{output_dir}/sub_{r_cnt}_mask.png\", 16)\n",
    "\n",
    "sample_and_save(amd_model_wo_mask, vae,  ref_img_origin, randomref_img_origin, ref_motion_womask, f\"{output_dir}/origin_{r_cnt}_wo_mask.png\", 16)\n",
    "sample_and_save(amd_model_wo_mask, vae,  ref_img_sub, randomref_img_sub, ref_motion_womask, f\"{output_dir}/sub_{r_cnt}_wo_mask.png\", 16)\n",
    "# sample_and_show(amd_model, vae,  ref_img, torch.zeros_like(randomref_img), ref_motion)\n",
    "# sample_and_show(amd_model, vae,  torch.zeros_like(ref_img), randomref_img, ref_motion)\n",
    "# sample_and_show(amd_model, vae,  torch.zeros_like(ref_img), torch.zeros_like(randomref_img), ref_motion)\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
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 },
 "nbformat": 4,
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}