オブジェクト検出

コレクションでコンテンツを整理 必要に応じて、コンテンツの保存と分類を行います。

TensorFlow.orgで表示 Run in Google Colab GitHub でソースを表示 ノートブックをダウンロード/a0} TF Hub モデルを参照

この Colab では、オブジェクト検出を実行するようにトレーニングされた TF-Hub モジュールの使用を実演します。

セットアップ

Imports and function definitions

2022-08-08 17:49:48.604332: E tensorflow/stream_executor/cuda/cuda_blas.cc:2981] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2022-08-08 17:49:49.307141: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvrtc.so.11.1: cannot open shared object file: No such file or directory
2022-08-08 17:49:49.307388: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvrtc.so.11.1: cannot open shared object file: No such file or directory
2022-08-08 17:49:49.307401: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
2.10.0-rc0
The following GPU devices are available: /device:GPU:0

使用例

画像のダウンロードと視覚化用のヘルパー関数

必要最低限の単純な機能性を得るために、TF オブジェクト検出 API から採用された視覚化コードです。

def display_image(image):
  fig = plt.figure(figsize=(20, 15))
  plt.grid(False)
  plt.imshow(image)


def download_and_resize_image(url, new_width=256, new_height=256,
                              display=False):
  _, filename = tempfile.mkstemp(suffix=".jpg")
  response = urlopen(url)
  image_data = response.read()
  image_data = BytesIO(image_data)
  pil_image = Image.open(image_data)
  pil_image = ImageOps.fit(pil_image, (new_width, new_height), Image.ANTIALIAS)
  pil_image_rgb = pil_image.convert("RGB")
  pil_image_rgb.save(filename, format="JPEG", quality=90)
  print("Image downloaded to %s." % filename)
  if display:
    display_image(pil_image)
  return filename


def draw_bounding_box_on_image(image,
                               ymin,
                               xmin,
                               ymax,
                               xmax,
                               color,
                               font,
                               thickness=4,
                               display_str_list=()):
  """Adds a bounding box to an image."""
  draw = ImageDraw.Draw(image)
  im_width, im_height = image.size
  (left, right, top, bottom) = (xmin * im_width, xmax * im_width,
                                ymin * im_height, ymax * im_height)
  draw.line([(left, top), (left, bottom), (right, bottom), (right, top),
             (left, top)],
            width=thickness,
            fill=color)

  # If the total height of the display strings added to the top of the bounding
  # box exceeds the top of the image, stack the strings below the bounding box
  # instead of above.
  display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
  # Each display_str has a top and bottom margin of 0.05x.
  total_display_str_height = (1 + 2 * 0.05) * sum(display_str_heights)

  if top > total_display_str_height:
    text_bottom = top
  else:
    text_bottom = top + total_display_str_height
  # Reverse list and print from bottom to top.
  for display_str in display_str_list[::-1]:
    text_width, text_height = font.getsize(display_str)
    margin = np.ceil(0.05 * text_height)
    draw.rectangle([(left, text_bottom - text_height - 2 * margin),
                    (left + text_width, text_bottom)],
                   fill=color)
    draw.text((left + margin, text_bottom - text_height - margin),
              display_str,
              fill="black",
              font=font)
    text_bottom -= text_height - 2 * margin


def draw_boxes(image, boxes, class_names, scores, max_boxes=10, min_score=0.1):
  """Overlay labeled boxes on an image with formatted scores and label names."""
  colors = list(ImageColor.colormap.values())

  try:
    font = ImageFont.truetype("/usr/share/fonts/truetype/liberation/LiberationSansNarrow-Regular.ttf",
                              25)
  except IOError:
    print("Font not found, using default font.")
    font = ImageFont.load_default()

  for i in range(min(boxes.shape[0], max_boxes)):
    if scores[i] >= min_score:
      ymin, xmin, ymax, xmax = tuple(boxes[i])
      display_str = "{}: {}%".format(class_names[i].decode("ascii"),
                                     int(100 * scores[i]))
      color = colors[hash(class_names[i]) % len(colors)]
      image_pil = Image.fromarray(np.uint8(image)).convert("RGB")
      draw_bounding_box_on_image(
          image_pil,
          ymin,
          xmin,
          ymax,
          xmax,
          color,
          font,
          display_str_list=[display_str])
      np.copyto(image, np.array(image_pil))
  return image

モジュールを適用する

Open Images v4 から公開画像を読み込み、ローカルの保存して表示します。

# By Heiko Gorski, Source: https://commons.wikimedia.org/wiki/File:Naxos_Taverna.jpg
image_url = "https://upload.wikimedia.org/wikipedia/commons/6/60/Naxos_Taverna.jpg" 
downloaded_image_path = download_and_resize_image(image_url, 1280, 856, True)
/tmpfs/tmp/ipykernel_60237/4241748128.py:14: DeprecationWarning: ANTIALIAS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
  pil_image = ImageOps.fit(pil_image, (new_width, new_height), Image.ANTIALIAS)
Image downloaded to /tmpfs/tmp/tmp6xwahu6q.jpg.

png

オブジェクト検出モジュールを選択し、ダウンロードされた画像に適用します。モジュールのリストを示します。

  • FasterRCNN+InceptionResNet V2: 高精度
  • ssd+mobilenet V2: 小規模で高速
module_handle = "https://tfhub.dev/google/faster_rcnn/openimages_v4/inception_resnet_v2/1"

detector = hub.load(module_handle).signatures['default']
INFO:tensorflow:Saver not created because there are no variables in the graph to restore
INFO:tensorflow:Saver not created because there are no variables in the graph to restore
def load_img(path):
  img = tf.io.read_file(path)
  img = tf.image.decode_jpeg(img, channels=3)
  return img
def run_detector(detector, path):
  img = load_img(path)

  converted_img  = tf.image.convert_image_dtype(img, tf.float32)[tf.newaxis, ...]
  start_time = time.time()
  result = detector(converted_img)
  end_time = time.time()

  result = {key:value.numpy() for key,value in result.items()}

  print("Found %d objects." % len(result["detection_scores"]))
  print("Inference time: ", end_time-start_time)

  image_with_boxes = draw_boxes(
      img.numpy(), result["detection_boxes"],
      result["detection_class_entities"], result["detection_scores"])

  display_image(image_with_boxes)
run_detector(detector, downloaded_image_path)
2022-08-08 17:51:28.382055: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:690] Error in PredictCost() for the op: op: "CropAndResize" attr { key: "T" value { type: DT_FLOAT } } attr { key: "extrapolation_value" value { f: 0 } } attr { key: "method" value { s: "bilinear" } } inputs { dtype: DT_FLOAT shape { dim { size: -2642 } dim { size: -2643 } dim { size: -2644 } dim { size: 1088 } } } inputs { dtype: DT_FLOAT shape { dim { size: -22 } dim { size: 4 } } } inputs { dtype: DT_INT32 shape { dim { size: -22 } } } inputs { dtype: DT_INT32 shape { dim { size: 2 } } value { dtype: DT_INT32 tensor_shape { dim { size: 2 } } int_val: 17 } } device { type: "GPU" vendor: "NVIDIA" model: "Tesla P100-PCIE-16GB" frequency: 1328 num_cores: 56 environment { key: "architecture" value: "6.0" } environment { key: "cuda" value: "11020" } environment { key: "cudnn" value: "8100" } num_registers: 65536 l1_cache_size: 24576 l2_cache_size: 4194304 shared_memory_size_per_multiprocessor: 65536 memory_size: 16028467200 bandwidth: 732160000 } outputs { dtype: DT_FLOAT shape { dim { size: -22 } dim { size: 17 } dim { size: 17 } dim { size: 1088 } } }
Found 100 objects.
Inference time:  44.183661222457886
Font not found, using default font.
/tmpfs/tmp/ipykernel_60237/4241748128.py:45: DeprecationWarning: getsize is deprecated and will be removed in Pillow 10 (2023-07-01). Use getbbox or getlength instead.
  display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
/tmpfs/tmp/ipykernel_60237/4241748128.py:55: DeprecationWarning: getsize is deprecated and will be removed in Pillow 10 (2023-07-01). Use getbbox or getlength instead.
  text_width, text_height = font.getsize(display_str)

png

その他の画像

時間トラッキングを使用して、追加の画像に推論を実行します。

image_urls = [
  # Source: https://commons.wikimedia.org/wiki/File:The_Coleoptera_of_the_British_islands_(Plate_125)_(8592917784).jpg
  "https://upload.wikimedia.org/wikipedia/commons/1/1b/The_Coleoptera_of_the_British_islands_%28Plate_125%29_%288592917784%29.jpg",
  # By Américo Toledano, Source: https://commons.wikimedia.org/wiki/File:Biblioteca_Maim%C3%B3nides,_Campus_Universitario_de_Rabanales_007.jpg
  "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0d/Biblioteca_Maim%C3%B3nides%2C_Campus_Universitario_de_Rabanales_007.jpg/1024px-Biblioteca_Maim%C3%B3nides%2C_Campus_Universitario_de_Rabanales_007.jpg",
  # Source: https://commons.wikimedia.org/wiki/File:The_smaller_British_birds_(8053836633).jpg
  "https://upload.wikimedia.org/wikipedia/commons/0/09/The_smaller_British_birds_%288053836633%29.jpg",
  ]

def detect_img(image_url):
  start_time = time.time()
  image_path = download_and_resize_image(image_url, 640, 480)
  run_detector(detector, image_path)
  end_time = time.time()
  print("Inference time:",end_time-start_time)
detect_img(image_urls[0])
/tmpfs/tmp/ipykernel_60237/4241748128.py:14: DeprecationWarning: ANTIALIAS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
  pil_image = ImageOps.fit(pil_image, (new_width, new_height), Image.ANTIALIAS)
Image downloaded to /tmpfs/tmp/tmpp10w30xl.jpg.
Found 100 objects.
Inference time:  1.5359678268432617
Font not found, using default font.
Inference time: 1.7799434661865234
/tmpfs/tmp/ipykernel_60237/4241748128.py:45: DeprecationWarning: getsize is deprecated and will be removed in Pillow 10 (2023-07-01). Use getbbox or getlength instead.
  display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
/tmpfs/tmp/ipykernel_60237/4241748128.py:55: DeprecationWarning: getsize is deprecated and will be removed in Pillow 10 (2023-07-01). Use getbbox or getlength instead.
  text_width, text_height = font.getsize(display_str)

png

detect_img(image_urls[1])
/tmpfs/tmp/ipykernel_60237/4241748128.py:14: DeprecationWarning: ANTIALIAS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
  pil_image = ImageOps.fit(pil_image, (new_width, new_height), Image.ANTIALIAS)
Image downloaded to /tmpfs/tmp/tmpk3iepd52.jpg.
Found 100 objects.
Inference time:  0.9215655326843262
Font not found, using default font.
Inference time: 1.1639447212219238
/tmpfs/tmp/ipykernel_60237/4241748128.py:45: DeprecationWarning: getsize is deprecated and will be removed in Pillow 10 (2023-07-01). Use getbbox or getlength instead.
  display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
/tmpfs/tmp/ipykernel_60237/4241748128.py:55: DeprecationWarning: getsize is deprecated and will be removed in Pillow 10 (2023-07-01). Use getbbox or getlength instead.
  text_width, text_height = font.getsize(display_str)

png

detect_img(image_urls[2])
/tmpfs/tmp/ipykernel_60237/4241748128.py:14: DeprecationWarning: ANTIALIAS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
  pil_image = ImageOps.fit(pil_image, (new_width, new_height), Image.ANTIALIAS)
Image downloaded to /tmpfs/tmp/tmpc3n7yogv.jpg.
Found 100 objects.
Inference time:  0.9424035549163818
Font not found, using default font.
Inference time: 1.3023195266723633
/tmpfs/tmp/ipykernel_60237/4241748128.py:45: DeprecationWarning: getsize is deprecated and will be removed in Pillow 10 (2023-07-01). Use getbbox or getlength instead.
  display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
/tmpfs/tmp/ipykernel_60237/4241748128.py:55: DeprecationWarning: getsize is deprecated and will be removed in Pillow 10 (2023-07-01). Use getbbox or getlength instead.
  text_width, text_height = font.getsize(display_str)

png