Compare commits
2 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
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05e8b9a15d | ||
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6f7b2c9ec6 |
@ -1,7 +1,9 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<component name="ChangeListManager">
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<change beforePath="$PROJECT_DIR$/index.py" beforeDir="false" afterPath="$PROJECT_DIR$/index.py" afterDir="false" />
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<option name="SHOW_DIALOG" value="false" />
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<option name="HIGHLIGHT_CONFLICTS" value="true" />
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@ -13,8 +15,8 @@
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@ -22,6 +24,11 @@
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<file pinned="false" current-in-tab="false">
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<entry file="file://$PROJECT_DIR$/lib/test-images/lot-5-cars-B.jpg">
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<provider selected="true" editor-type-id="images" />
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@ -30,8 +37,8 @@
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<file pinned="false" current-in-tab="false">
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@ -39,11 +46,6 @@
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</entry>
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</file>
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<entry file="file://$PROJECT_DIR$/capture.jpg">
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<provider selected="true" editor-type-id="images" />
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<file pinned="false" current-in-tab="false">
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@ -62,11 +64,16 @@
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</provider>
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</file>
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<file pinned="false" current-in-tab="false">
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<entry file="file://$PROJECT_DIR$/lib/test-images/lot-3-cars.jpg">
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<provider selected="true" editor-type-id="images" />
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</entry>
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</file>
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<file pinned="false" current-in-tab="false">
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<entry file="file://$PROJECT_DIR$/image_tools.py">
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@ -74,8 +81,8 @@
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<file pinned="false" current-in-tab="false">
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<entry file="file://$PROJECT_DIR$/.env">
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@ -98,11 +105,6 @@
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</list>
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</option>
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</component>
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<component name="FindInProjectRecents">
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<findStrings>
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<find>poll_t</find>
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<component name="Git.Settings">
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<option name="RECENT_GIT_ROOT_PATH" value="$PROJECT_DIR$" />
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</component>
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@ -112,10 +114,10 @@
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<option value="$PROJECT_DIR$/image_diff_color.py" />
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<option value="$PROJECT_DIR$/.gitignore" />
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<option value="$PROJECT_DIR$/config.py" />
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<option value="$PROJECT_DIR$/image_tools.py" />
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<option value="$PROJECT_DIR$/example.env" />
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<option value="$PROJECT_DIR$/.env" />
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<option value="$PROJECT_DIR$/camera.py" />
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<option value="$PROJECT_DIR$/image_tools.py" />
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<option value="$PROJECT_DIR$/index.py" />
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</list>
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@ -138,11 +140,6 @@
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<item name="python-backend" type="462c0819:PsiDirectoryNode" />
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<item name="test-images-vert" type="462c0819:PsiDirectoryNode" />
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</path>
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</expand>
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<select />
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</subPane>
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@ -199,7 +196,7 @@
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<window_info anchor="bottom" id="Inspection" order="5" weight="0.4" />
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<window_info anchor="bottom" id="TODO" order="6" />
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<window_info anchor="bottom" id="Version Control" order="7" />
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<window_info active="true" anchor="bottom" id="Terminal" order="8" visible="true" weight="0.32972974" />
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<window_info anchor="bottom" id="Python Console" order="9" />
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<window_info anchor="right" id="Commander" internal_type="SLIDING" order="0" type="SLIDING" weight="0.4" />
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@ -235,6 +232,13 @@
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<entry file="file://$PROJECT_DIR$/lib/test-images/lot-5-cars-B.jpg">
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<provider selected="true" editor-type-id="images" />
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<entry file="file://$PROJECT_DIR$/config.py">
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@ -261,32 +265,25 @@
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<entry file="file://$PROJECT_DIR$/index.py">
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BIN
ai_image.jpg
BIN
ai_image.jpg
Binary file not shown.
|
Before Width: | Height: | Size: 44 KiB |
BIN
ai_image.out.jpg
BIN
ai_image.out.jpg
Binary file not shown.
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Before Width: | Height: | Size: 77 KiB |
@ -1,14 +1,12 @@
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import pygame
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import pygame.camera
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import time
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def capture(camera_stream = "/dev/video0", camera_res = (640, 480)):
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def capture(camera_stream = "/dev/video4"):
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pygame.camera.init()
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pygame.camera.list_cameras()
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cam = pygame.camera.Camera(camera_stream, camera_res)
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cam = pygame.camera.Camera(camera_stream, (640, 480))
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cam.start()
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time.sleep(5)
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img = cam.get_image()
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pygame.image.save(img, './capture.jpg')
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cam.stop()
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BIN
capture.jpg
BIN
capture.jpg
Binary file not shown.
|
Before Width: | Height: | Size: 29 KiB After Width: | Height: | Size: 27 KiB |
@ -1,6 +1,7 @@
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def average_color(x, y, w, h, image):
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r, g, b = 0, 0, 0
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count = 0
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print([x, y, w, h])
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for s in range(x, x + w + 1):
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for t in range(y, y + h + 1):
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pixlr, pixlg, pixlb = image[s, t]
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17
index.py
17
index.py
@ -18,11 +18,8 @@ firebase_admin.initialize_app(cred)
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db = firestore.client()
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doc_conf = db.collection('configurations').document(os.getenv('CONFIG_CODE')).get().to_dict()
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print(doc_conf)
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def poll():
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doc_ref_lot = db.collection('lots').document(doc_conf['lot_id'])
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doc_ref_lot = db.collection('lots').document(os.getenv('LOT_NAME'))
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# Get the reference image
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lot_info = doc_ref_lot.collection('info').document('lotInfo').get().to_dict()
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@ -30,16 +27,16 @@ def poll():
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reference = Image.open('./ref-img.jpg').load()
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# Take the picture
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img = Image.open(camera.capture(doc_conf['stream'])).load()
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img = Image.open(camera.capture(os.getenv('CAMERA_DEVICE'))).load()
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#img = Image.open('./lib/test-images-vert/lot-3-cars.jpg').load()
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doc_ref_stalls = doc_ref_lot.collection('stalls').get()
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for stall in doc_ref_stalls:
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stall_obj = stall.to_dict()
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color_reference = image_tools.average_color(stall_obj['locationX'], stall_obj['locationY'], stall_obj['width'], stall_obj['height'], reference)
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color_reference = image_tools.average_color(75, 400, 50, 50, img)
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color_compare = image_tools.average_color(stall_obj['locationX'], stall_obj['locationY'], stall_obj['width'], stall_obj['height'], img)
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stall_occupied = image_tools.threshold(image_tools.differences(color_reference, color_compare), float(doc_conf['e_hat']))
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stall_occupied = image_tools.threshold(image_tools.differences(color_reference, color_compare), float(os.getenv('E_HAT_TRIGGER_LEVEL')))
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stall_obj['open'] = not stall_occupied
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print("Updated: "+stall.id)
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@ -50,9 +47,5 @@ start_time = time.time()
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while True:
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poll()
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doc_conf = db.collection('configurations').document(os.getenv('CONFIG_CODE')).get().to_dict()
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print(doc_conf)
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if doc_conf['stop']:
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break
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poll_time = float(doc_conf['frequency'])
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poll_time = float(os.getenv('POLL_FREQUENCY'))
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time.sleep(poll_time - ((time.time() - start_time) % poll_time))
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BIN
ref-img.jpg
BIN
ref-img.jpg
Binary file not shown.
|
Before Width: | Height: | Size: 35 KiB After Width: | Height: | Size: 38 KiB |
14
tensor.py
14
tensor.py
@ -1,14 +0,0 @@
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from imageai.Detection import ObjectDetection
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import os
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execution_path = os.getcwd()
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detector = ObjectDetection()
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detector.setModelTypeAsRetinaNet()
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detector.setModelPath(os.path.join(execution_path, "resnet50_coco_best_v2.0.1.h5"))
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detector.loadModel()
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detections = detector.detectObjectsFromImage(input_image=os.path.join(execution_path, "ai_image.jpg"), output_image_path=os.path.join(execution_path , "ai_image.out.jpg"))
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for eachObject in detections:
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print(eachObject["name"] , " : " , eachObject["percentage_probability"] )
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