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Update OpenVINO version in examples to 2021.4 #187

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Jul 26, 2021
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36 changes: 18 additions & 18 deletions examples/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -59,41 +59,41 @@ endfunction()

# NeuralNetwork node, mobilenet example
hunter_private_data(
URL "https://artifacts.luxonis.com/artifactory/luxonis-depthai-data-local/network/mobilenet-ssd_openvino_2021.2_6shave.blob"
SHA1 "f0e14978b3f77a4f93b9f969cd39e58bb7aef490"
FILE "mobilenet-ssd_openvino_2021.2_6shave.blob"
URL "https://artifacts.luxonis.com/artifactory/luxonis-depthai-data-local/network/mobilenet-ssd_openvino_2021.4_6shave.blob"
SHA1 "4f4506726e3083981064938a0faaf9af6180d2c6"
FILE "mobilenet-ssd_openvino_2021.4_6shave.blob"
LOCATION mobilenet_blob
)

# YoloV3 resource
hunter_private_data(
URL "https://artifacts.luxonis.com/artifactory/luxonis-depthai-data-local/network/tiny-yolo-v3_openvino_2021.2_6shave.blob"
SHA1 "f0ac263a0d55c374e1892eea21c9b7d1170bde46"
FILE "tiny-yolo-v3_openvino_2021.2_6shave.blob"
URL "http://artifacts.luxonis.com/artifactory/luxonis-depthai-data-local/network/yolo-v3-tiny-tf_openvino_2021.4_6shave.blob"
SHA1 "dedb2d4d96b23e42d15c15e454b8f02eca2713de"
FILE "yolo-v3-tiny-tf_openvino_2021.4_6shave.blob"
LOCATION tiny_yolo_v3_blob
)

# YoloV4 resource
hunter_private_data(
URL "https://artifacts.luxonis.com/artifactory/luxonis-depthai-data-local/network/tiny-yolo-v4_openvino_2021.2_6shave.blob"
SHA1 "219d949610a5760e62a8458941e1300b81c3fe4a"
FILE "tiny-yolo-v4_openvino_2021.2_6shave.blob"
URL "https://artifacts.luxonis.com/artifactory/luxonis-depthai-data-local/network/yolo-v4-tiny-tf_openvino_2021.4_6shave.blob"
SHA1 "d8d09b697dac298fe83cf8856740a21b1a61ab89"
FILE "yolo-v4-tiny-tf_openvino_2021.4_6shave.blob"
LOCATION tiny_yolo_v4_blob
)

# NeuralNetwork node, mobilenet example, 5 shaves
hunter_private_data(
URL "https://artifacts.luxonis.com/artifactory/luxonis-depthai-data-local/network/mobilenet-ssd_openvino_2021.2_5shave.blob"
SHA1 "d715f85e474609cf3f696d7a2e3750804ed6c726"
FILE "mobilenet-ssd_openvino_2021.2_5shave.blob"
URL "https://artifacts.luxonis.com/artifactory/luxonis-depthai-data-local/network/mobilenet-ssd_openvino_2021.4_5shave.blob"
SHA1 "14ab3ef446b8a649d6694d94c2fc8b798efd74a3"
FILE "mobilenet-ssd_openvino_2021.4_5shave.blob"
LOCATION mobilenet_5shaves_blob
)

# NeuralNetwork node, mobilenet example, 8 shaves
hunter_private_data(
URL "https://artifacts.luxonis.com/artifactory/luxonis-depthai-data-local/network/mobilenet-ssd_openvino_2021.2_8shave.blob"
SHA1 "3329bb8f3a9c881ef9756d232055f9d6f38aa07b"
FILE "mobilenet-ssd_openvino_2021.2_8shave.blob"
URL "https://artifacts.luxonis.com/artifactory/luxonis-depthai-data-local/network/mobilenet-ssd_openvino_2021.4_8shave.blob"
SHA1 "7e7ea9a680668f3ca9e8f1d22cc8f3f1a02ac018"
FILE "mobilenet-ssd_openvino_2021.4_8shave.blob"
LOCATION mobilenet_8shaves_blob
)

Expand Down Expand Up @@ -129,9 +129,9 @@ hunter_private_data(

# person-detection
hunter_private_data(
URL "https://artifacts.luxonis.com/artifactory/luxonis-depthai-data-local/network/person-detection-0201_openvino_2021.3_7shave.blob"
SHA1 "a8d4b0067deb889ec66b2204573d9ee1e0039c8e"
FILE "person-detection-0201_openvino_2021.3_7shave.blob"
URL "https://artifacts.luxonis.com/artifactory/luxonis-depthai-data-local/network/person-detection-retail-0013_openvino_2021.4_7shave.blob"
SHA1 "946d102874b287292cdb5952fa66356c8d36025f"
FILE "person-detection-retail-0013_openvino_2021.4_7shave.blob"
LOCATION person_detection
)

Expand Down
6 changes: 3 additions & 3 deletions examples/src/object_tracker_video.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@
// Inludes common necessary includes for development using depthai library
#include "depthai/depthai.hpp"

static const std::vector<std::string> labelMap = {"person", ""};
static const std::vector<std::string> labelMap = {"", "person"};

static std::atomic<bool> fullFrameTracking{false};

Expand Down Expand Up @@ -49,7 +49,7 @@ int main(int argc, char** argv) {
// Properties
xinFrame->setMaxDataSize(1920 * 1080 * 3);

manip->initialConfig.setResizeThumbnail(384, 384);
manip->initialConfig.setResizeThumbnail(544, 320);
// manip->initialConfig.setResize(384, 384);
// manip->initialConfig.setKeepAspectRatio(false); //squash the image to not lose FOV
// The NN model expects BGR input. By default ImageManip output type would be same as input (gray in this case)
Expand All @@ -64,7 +64,7 @@ int main(int argc, char** argv) {
objectTracker->inputTrackerFrame.setBlocking(true);
objectTracker->inputDetectionFrame.setBlocking(true);
objectTracker->inputDetections.setBlocking(true);
objectTracker->setDetectionLabelsToTrack({0}); // track only person
objectTracker->setDetectionLabelsToTrack({1}); // track only person
// possible tracking types: ZERO_TERM_COLOR_HISTOGRAM, ZERO_TERM_IMAGELESS
objectTracker->setTrackerType(dai::TrackerType::ZERO_TERM_COLOR_HISTOGRAM);
// take the smallest ID when new object is tracked, possible options: SMALLEST_ID, UNIQUE_ID
Expand Down