def test_detection_file():
detection = Detection(config, name="mask")
res = detection.detectObject(os.path.join(IMAGES_DIR, "pelosi.webp"))
assert len(res) == 1
def test_detection_file():
detection = Detection(config)
res = detection.detectObject(os.path.join(IMAGES_DIR, "detection.jpg"))
assert len(res) == 3
def test_detection_url():
detection = Detection(config)
res = detection.detectObject(
"https://docs.deepstack.cc/_images/family-and-dog.jpg")
assert len(res) == 3
def test_detection_pil():
detection = Detection(config, name="mask")
img = Image.open(os.path.join(IMAGES_DIR, "pelosi.webp"))
res = detection.detectObject(img)
assert len(res) == 1
def test_detection_cv2():
detection = Detection(config, name="mask")
img = cv2.imread(os.path.join(IMAGES_DIR, "pelosi.webp"))
res = detection.detectObject(img)
assert len(res) == 1
def test_detection_pil():
detection = Detection(config)
img = Image.open(os.path.join(IMAGES_DIR, "detection.jpg"))
res = detection.detectObject(img)
assert len(res) == 3
def test_detection_cv2():
detection = Detection(config)
img = cv2.imread(os.path.join(IMAGES_DIR, "detection.jpg"))
res = detection.detectObject(img)
assert len(res) == 3
def test_detection_bytes():
detection = Detection(config)
img = Image.open(os.path.join(IMAGES_DIR, "detection.jpg"))
img_data = pilToBytes(img)
res = detection.detectObject(img_data)
assert len(res) == 3
from deepstack_sdk import Detection, ServerConfig
import os
config = ServerConfig("http://localhost:80")
detector = Detection(config=config, name="dark")
detections = detector.detectObject(image=os.path.join("images", "image.jpg"),
output=os.path.join("images",
"image_detected.jpg"))
for detection in detections:
print("Name: {}".format(detection.label))
print("Confidence: {}".format(detection.confidence))
print("x_min: {}".format(detection.x_min))
print("x_max: {}".format(detection.x_max))
print("y_min: {}".format(detection.y_min))
print("y_max: {}".format(detection.y_max))
print("-----------------------")
from deepstack_sdk import ServerConfig, Detection
import cv2
config = ServerConfig("http://localhost:80")
detection = Detection(config)
cv2_image = cv2.imread("image.jpg")
response = detection.detectObject(cv2_image, output="image_output.jpg")
for obj in response:
print(
"Name: {}, Confidence: {}, x_min: {}, y_min: {}, x_max: {}, y_max: {}".
format(obj.label, obj.confidence, obj.x_min, obj.y_min, obj.x_max,
obj.y_max))
from deepstack_sdk import ServerConfig, Detection
config = ServerConfig("http://localhost:80")
detection = Detection(config)
response = detection.detectObject("image.jpg", output="image_output.jpg")
for obj in response:
print(
"Name: {}, Confidence: {}, x_min: {}, y_min: {}, x_max: {}, y_max: {}".
format(obj.label, obj.confidence, obj.x_min, obj.y_min, obj.x_max,
obj.y_max))
"""
:: detection.detectObject()
--- Available Paramaters
- image (file, numpy array, PIL Image, image bytes, url)
- format (jpg, png)
- min_confidence (0.1 to 1.0)
- callback (function name, parses in image_byte [without label and boxes] and detections into the function)
- output (file path of none if you don't want to save to file)
- output_font (cv2 font)
- output_font_color ( r, g, b )
"""
from deepstack_sdk import ServerConfig, Detection
def detection_callback(input_image_byte, detection_result):
# Get detected image byte and save
with open("detected_image.jpg", "wb") as writer:
writer.write(input_image_byte)
# Process detection result
for obj in detection_result:
print("Name: {}, Confidence: {}, x_min: {}, y_min: {}, x_max: {}, y_max: {}".format(obj.label, obj.confidence, obj.x_min, obj.y_min, obj.x_max, obj.y_max))
# You can do other stuffs with the image and the detection results in this function
config = ServerConfig("http://localhost:80")
detection = Detection(config)
image_byte = open("image.jpg", "rb").read()
response = detection.detectObject(image_byte, callback=detection_callback)
from deepstack_sdk import ServerConfig, Detection
config = ServerConfig("http://localhost:80")
detection = Detection(config)
image_byte = open("image.jpg", "rb").read()
response = detection.detectObject(image_byte,output="image_output.jpg")
for obj in response:
print("Name: {}, Confidence: {}, x_min: {}, y_min: {}, x_max: {}, y_max: {}".format(obj.label, obj.confidence, obj.x_min, obj.y_min, obj.x_max, obj.y_max))
from deepstack_sdk import ServerConfig, Detection
config = ServerConfig("http://localhost:89")
detection = Detection(config)
response = detection.detectObject("detection.jpg", output="output_image.jpg")
for obj in response:
print("Name: {}, Confidence: {}".format(obj.label, obj.confidence))