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이 Colab은 물체 감지를 수행하도록 훈련된 TF-Hub 모듈의 사용 예를 보여줍니다.
설정
Imports and function definitions
# For running inference on the TF-Hub module.
import tensorflow as tf
import tensorflow_hub as hub
# For downloading the image.
import matplotlib.pyplot as plt
import tempfile
from six.moves.urllib.request import urlopen
from six import BytesIO
# For drawing onto the image.
import numpy as np
from PIL import Image
from PIL import ImageColor
from PIL import ImageDraw
from PIL import ImageFont
from PIL import ImageOps
# For measuring the inference time.
import time
# Print Tensorflow version
print(tf.__version__)
# Check available GPU devices.
print("The following GPU devices are available: %s" % tf.test.gpu_device_name())
2022-12-14 20:45:40.783437: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory 2022-12-14 20:45:40.783580: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory 2022-12-14 20:45:40.783591: 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. 2.11.0 The following GPU devices are available: /device:GPU:0
사용 예
이미지 다운로드 및 시각화를 위한 도우미 함수
가장 간단한 필수 기능을 제공하도록 TF 물체 감지 API에서 조정된 시각화 코드입니다.
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
모듈 적용하기
Open Images v4에서 공개 이미지를 로드하고 로컬에 저장한 다음 표시합니다.
# 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_51136/4241748128.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/tmp8m_tvvo3.jpg.
물체 감지 모듈을 선택하고 다운로드한 이미지에 적용합니다. 모듈:
- FasterRCNN+InceptionResNet V2: 높은 정확성
- ssd + mobilenet V2: 작고 빠름
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)
2022-12-14 20:47:22.070187: 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: 16025321472 bandwidth: 732160000 } outputs { dtype: DT_FLOAT shape { dim { size: -22 } dim { size: 17 } dim { size: 17 } dim { size: 1088 } } }
Found 100 objects.
Inference time: 46.85144066810608
/tmpfs/tmp/ipykernel_51136/4241748128.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_51136/4241748128.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)
더 많은 이미지
시간 추적을 사용하여 일부 추가 이미지에 추론을 수행합니다.
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_51136/4241748128.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/tmp1glrai0m.jpg. Found 100 objects. Inference time: 1.5718114376068115 Inference time: 1.8164777755737305 /tmpfs/tmp/ipykernel_51136/4241748128.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_51136/4241748128.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)
detect_img(image_urls[1])
/tmpfs/tmp/ipykernel_51136/4241748128.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/tmpyq9npeet.jpg. Found 100 objects. Inference time: 0.9585244655609131 Inference time: 1.1867599487304688 /tmpfs/tmp/ipykernel_51136/4241748128.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_51136/4241748128.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)
detect_img(image_urls[2])
/tmpfs/tmp/ipykernel_51136/4241748128.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/tmps8plm_gs.jpg. Found 100 objects. Inference time: 0.9559574127197266 Inference time: 1.2874116897583008 /tmpfs/tmp/ipykernel_51136/4241748128.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_51136/4241748128.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)
