code stringlengths 3 6.57k |
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cv2.dnn.readNetFromDarknet(modelConfiguration, modelWeights) |
net.setPreferableBackend(cv2.dnn.DNN_BACKEND_OPENCV) |
net.setPreferableTarget(cv2.dnn.DNN_TARGET_CPU) |
os.path.isfile(inputFile) |
print("Input video file ", inputFile, " doesn't exist") |
sys.exit(1) |
cv2.VideoCapture(inputFile) |
cv2.VideoCapture(inputFile2) |
cv2.VideoWriter(outputFile, cv2.VideoWriter_fourcc('M', 'J', 'P', 'G') |
round(cap.get(cv2.CAP_PROP_FRAME_WIDTH) |
round(cap.get(cv2.CAP_PROP_FRAME_HEIGHT) |
getOutputsNames(net) |
net.getLayerNames() |
net.getUnconnectedOutLayers() |
drawPred(classId, conf, left, top, right, bottom) |
cv2.rectangle(frame, (left, top) |
assert (classId < len(classes) |
cv2.getTextSize(label, font, 0.5, 1) |
max(top, labelSize[1]) |
cv2.putText(frame, label, (left, top) |
postprocess(frame, outs) |
np.argmax(scores) |
int(detection[0] * frameWidth) |
int(detection[1] * frameHeight) |
int(detection[2] * frameWidth) |
int(detection[3] * frameHeight) |
int(center_x - width / 2) |
int(center_y - height / 2) |
classIds.append(classId) |
confidences.append(float(confidence) |
boxes.append([left, top, width, height]) |
cv2.dnn.NMSBoxes(boxes, confidences, confThreshold, nmsThreshold) |
drawPred(classIds[i], confidences[i], left, top, left + width, top + height) |
cap.read() |
cap2.read() |
cv2.resize(frame, dsize=(600, 402) |
cv2.resize(frame2, dsize=(600, 402) |
cv2.imshow("Camera", frame) |
cv2.imshow("Thermal_Camera", frame2) |
print("Done processing !!!") |
cv2.waitKey(3000) |
cv2.dnn.blobFromImage(frame, 1 / 255, (inpWidth, inpHeight) |
net.setInput(blob) |
net.forward(getOutputsNames(net) |
postprocess(frame, outs) |
time.time() |
cv2.putText(frame, str2, (10, 50) |
vid_writer.write(frame.astype(np.uint8) |
cv2.imshow("CAMERA_Detection", frame) |
cv2.FastFeatureDetector_create(30) |
fast.setNonmaxSuppression(0) |
fast.detect(frame2, None) |
cv2.drawKeypoints(frame2, kp, img2, (0, 255, 255) |
cv2.imshow("THERMAL", img2) |
cv2.cvtColor(frame2, cv2.COLOR_BGR2HSV) |
np.array([0, 0, 255 - car_prediction], dtype=np.uint8) |
np.array([255, car_prediction, 255], dtype=np.uint8) |
cv2.inRange(hsv, lower_white, upper_white) |
cv2.bitwise_and(frame2, frame2, mask=mask_white) |
cv2.imshow("THERMAL_CAR", res) |
cv2.cvtColor(res2, cv2.COLOR_BGR2GRAY) |
cv2.threshold(igray, 127, 255, cv2.THRESH_BINARY) |
cv2.findContours(ibinary, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_NONE) |
range(len(contours) |
cv2.drawContours(res2, [contours[i]], 0, (255, 255, 255) |
cv2.putText(res2, "car", tuple(contours[i][0][0]) |
cv2.imshow("THERMAL_CONTOUR", res2) |
cv2.addWeighted(res2, 1, frame2, 1, 0) |
cv2.imshow('THERMAL_RES',dst) |
cv2.imshow("THERMAL",frame2) |
cv2.addWeighted(res2, 1, frame, 1, 0) |
cv2.imshow("RESULT",dst2) |
cv2.waitKey(1) |
cap.release() |
cv2.destroyAllWindows() |
protoc_insertion_point(imports) |
_symbol_database.Default() |
x02(\x0c\x12\x12\n\nevent_type\x18\x02 \x02(\t\x12\x19\n\x11\x64\x61ta_content_type\x18\x03 \x02(\x05\x12\x1d\n\x15metadata_content_type\x18\x04 \x02(\x05\x12\x0c\n\x04\x64\x61ta\x18\x05 \x02(\x0c\x12\x10\n\x08metadata\x18\x06 \x01(\x0c\"\xe4\x01\n\x0b\x45ventRecord\x12\x17\n\x0f\x65vent_stream_id\x18\x01 \x02(\t\x12\x... |
x02(\x03\x12\x1d\n\x15next_prepare_position\x18\x05 \x02(\x03\x12Y\n\x06result\x18\x06 \x01(\x0e\x32@.EventStore.Client.Messages.ReadAllEventsCompleted.ReadAllResult:\x07Success\x12\r\n\x05\x65rror\x18\x07 \x01(\t\"J\n\rReadAllResult\x12\x0b\n\x07Success\x10\x00\x12\x0f\n\x0bNotModified\x10\x01\x12\t\n\x05\x45rror\x10\... |
x02(\x03\x12\x1d\n\x15next_prepare_position\x18\x05 \x02(\x03\x12\x18\n\x10is_end_of_stream\x18\x06 \x02(\x08\x12i\n\x06result\x18\x07 \x01(\x0e\x32P.EventStore.Client.Messages.FilteredReadAllEventsCompleted.FilteredReadAllResult:\x07Success\x12\r\n\x05\x65rror\x18\x08 \x01(\t\"R\n\x15\x46ilteredReadAllResult\x12\x0b\n... |
x02(\x0b\x32\x30.EventStore.Client.Messages.ResolvedIndexedEvent\x12\x12\n\nretryCount\x18\x02 \x01(\x05\"F\n\x11SubscribeToStream\x12\x17\n\x0f\x65vent_stream_id\x18\x01 \x02(\t\x12\x18\n\x10resolve_link_tos\x18\x02 \x02(\x08\"\x9f\x01\n\x19\x46ilteredSubscribeToStream\x12\x17\n\x0f\x65vent_stream_id\x18\x01 \x02(\t\x... |
_sym_db.RegisterEnumDescriptor(_OPERATIONRESULT) |
enum_type_wrapper.EnumTypeWrapper(_OPERATIONRESULT) |
_sym_db.RegisterEnumDescriptor(_READEVENTCOMPLETED_READEVENTRESULT) |
_sym_db.RegisterEnumDescriptor(_READSTREAMEVENTSCOMPLETED_READSTREAMRESULT) |
_sym_db.RegisterEnumDescriptor(_READALLEVENTSCOMPLETED_READALLRESULT) |
_sym_db.RegisterEnumDescriptor(_FILTER_FILTERCONTEXT) |
_sym_db.RegisterEnumDescriptor(_FILTER_FILTERTYPE) |
_sym_db.RegisterEnumDescriptor(_FILTEREDREADALLEVENTSCOMPLETED_FILTEREDREADALLRESULT) |
_sym_db.RegisterEnumDescriptor(_UPDATEPERSISTENTSUBSCRIPTIONCOMPLETED_UPDATEPERSISTENTSUBSCRIPTIONRESULT) |
_sym_db.RegisterEnumDescriptor(_CREATEPERSISTENTSUBSCRIPTIONCOMPLETED_CREATEPERSISTENTSUBSCRIPTIONRESULT) |
_sym_db.RegisterEnumDescriptor(_DELETEPERSISTENTSUBSCRIPTIONCOMPLETED_DELETEPERSISTENTSUBSCRIPTIONRESULT) |
_sym_db.RegisterEnumDescriptor(_PERSISTENTSUBSCRIPTIONNAKEVENTS_NAKACTION) |
_sym_db.RegisterEnumDescriptor(_SUBSCRIPTIONDROPPED_SUBSCRIPTIONDROPREASON) |
_sym_db.RegisterEnumDescriptor(_NOTHANDLED_NOTHANDLEDREASON) |
_sym_db.RegisterEnumDescriptor(_SCAVENGEDATABASERESPONSE_SCAVENGERESULT) |
decode('utf-8') |
decode('utf-8') |
decode('utf-8') |
decode('utf-8') |
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