-
Notifications
You must be signed in to change notification settings - Fork 261
/
ObjectDetection.cpp
416 lines (343 loc) · 15 KB
/
ObjectDetection.cpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
/**
* @file
* @brief Source file for Object Detection effect class
* @author Jonathan Thomas <jonathan@openshot.org>
*
* @ref License
*/
/* LICENSE
*
* Copyright (c) 2008-2019 OpenShot Studios, LLC
* <http://www.openshotstudios.com/>. This file is part of
* OpenShot Library (libopenshot), an open-source project dedicated to
* delivering high quality video editing and animation solutions to the
* world. For more information visit <http://www.openshot.org/>.
*
* OpenShot Library (libopenshot) is free software: you can redistribute it
* and/or modify it under the terms of the GNU Lesser General Public License
* as published by the Free Software Foundation, either version 3 of the
* License, or (at your option) any later version.
*
* OpenShot Library (libopenshot) is distributed in the hope that it will be
* useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with OpenShot Library. If not, see <http://www.gnu.org/licenses/>.
*/
#include "effects/ObjectDetection.h"
#include "effects/Tracker.h"
using namespace std;
using namespace openshot;
/// Blank constructor, useful when using Json to load the effect properties
ObjectDetection::ObjectDetection(std::string clipObDetectDataPath)
{
// Init effect properties
init_effect_details();
// Tries to load the tracker data from protobuf
LoadObjDetectdData(clipObDetectDataPath);
// Initialize the selected object index as the first object index
selectedObjectIndex = trackedObjects.begin()->first;
}
// Default constructor
ObjectDetection::ObjectDetection()
{
// Init effect properties
init_effect_details();
// Initialize the selected object index as the first object index
selectedObjectIndex = trackedObjects.begin()->first;
}
// Init effect settings
void ObjectDetection::init_effect_details()
{
/// Initialize the values of the EffectInfo struct.
InitEffectInfo();
/// Set the effect info
info.class_name = "Object Detector";
info.name = "Object Detector";
info.description = "Detect objects through the video.";
info.has_audio = false;
info.has_video = true;
info.has_tracked_object = true;
}
// This method is required for all derived classes of EffectBase, and returns a
// modified openshot::Frame object
std::shared_ptr<Frame> ObjectDetection::GetFrame(std::shared_ptr<Frame> frame, int64_t frame_number)
{
// Get the frame's image
cv::Mat cv_image = frame->GetImageCV();
// Check if frame isn't NULL
if(cv_image.empty()){
return frame;
}
// Check if track data exists for the requested frame
if (detectionsData.find(frame_number) != detectionsData.end()) {
float fw = cv_image.size().width;
float fh = cv_image.size().height;
DetectionData detections = detectionsData[frame_number];
for(int i = 0; i<detections.boxes.size(); i++){
// Get the object id
int objectId = detections.objectIds.at(i);
// Search for the object in the trackedObjects map
auto trackedObject_it = trackedObjects.find(objectId);
// Cast the object as TrackedObjectBBox
std::shared_ptr<TrackedObjectBBox> trackedObject = std::static_pointer_cast<TrackedObjectBBox>(trackedObject_it->second);
// Check if the tracked object has data for this frame
if (trackedObject->Contains(frame_number)){
// Get the bounding-box of given frame
BBox trackedBox = trackedObject->GetBox(frame_number);
cv::Rect2d box(
(int)( (trackedBox.cx-trackedBox.width/2)*fw),
(int)( (trackedBox.cy-trackedBox.height/2)*fh),
(int)( trackedBox.width*fw),
(int)( trackedBox.height*fh)
);
drawPred(detections.classIds.at(i), detections.confidences.at(i),
box, cv_image, detections.objectIds.at(i));
}
}
}
// Set image with drawn box to frame
// If the input image is NULL or doesn't have tracking data, it's returned as it came
frame->SetImageCV(cv_image);
return frame;
}
void ObjectDetection::drawPred(int classId, float conf, cv::Rect2d box, cv::Mat& frame, int objectNumber)
{
//Draw a rectangle displaying the bounding box
cv::rectangle(frame, box, classesColor[classId], 2);
//Get the label for the class name and its confidence
std::string label = cv::format("%.2f", conf);
if (!classNames.empty())
{
CV_Assert(classId < (int)classNames.size());
label = classNames[classId] + ":" + label;
}
//Display the label at the top of the bounding box
int baseLine;
cv::Size labelSize = cv::getTextSize(label, cv::FONT_HERSHEY_SIMPLEX, 0.5, 1, &baseLine);
double left = box.x;
double top = std::max((int)box.y, labelSize.height);
cv::rectangle(frame, cv::Point(left, top - round(1.025*labelSize.height)), cv::Point(left + round(1.025*labelSize.width), top + baseLine), classesColor[classId], cv::FILLED);
putText(frame, label, cv::Point(left+1, top), cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(0,0,0),1);
}
// Load protobuf data file
bool ObjectDetection::LoadObjDetectdData(std::string inputFilePath){
// Create tracker message
pb_objdetect::ObjDetect objMessage;
// Read the existing tracker message.
fstream input(inputFilePath, ios::in | ios::binary);
if (!objMessage.ParseFromIstream(&input)) {
cerr << "Failed to parse protobuf message." << endl;
return false;
}
// Make sure classNames, detectionsData and trackedObjects are empty
classNames.clear();
detectionsData.clear();
trackedObjects.clear();
// Seed to generate same random numbers
std::srand(1);
// Get all classes names and assign a color to them
for(int i = 0; i < objMessage.classnames_size(); i++)
{
classNames.push_back(objMessage.classnames(i));
classesColor.push_back(cv::Scalar(std::rand()%205 + 50, std::rand()%205 + 50, std::rand()%205 + 50));
}
// Iterate over all frames of the saved message
for (size_t i = 0; i < objMessage.frame_size(); i++)
{
// Create protobuf message reader
const pb_objdetect::Frame& pbFrameData = objMessage.frame(i);
// Get frame Id
size_t id = pbFrameData.id();
// Load bounding box data
const google::protobuf::RepeatedPtrField<pb_objdetect::Frame_Box > &pBox = pbFrameData.bounding_box();
// Construct data vectors related to detections in the current frame
std::vector<int> classIds;
std::vector<float> confidences;
std::vector<cv::Rect_<float>> boxes;
std::vector<int> objectIds;
// Iterate through the detected objects
for(int i = 0; i < pbFrameData.bounding_box_size(); i++)
{
// Get bounding box coordinates
float x = pBox.Get(i).x();
float y = pBox.Get(i).y();
float w = pBox.Get(i).w();
float h = pBox.Get(i).h();
// Get class Id (which will be assign to a class name)
int classId = pBox.Get(i).classid();
// Get prediction confidence
float confidence = pBox.Get(i).confidence();
// Get the object Id
int objectId = pBox.Get(i).objectid();
// Search for the object id on trackedObjects map
auto trackedObject = trackedObjects.find(objectId);
// Check if object already exists on the map
if (trackedObject != trackedObjects.end())
{
// Add a new BBox to it
trackedObject->second->AddBox(id, x+(w/2), y+(h/2), w, h, 0.0);
}
else
{
// There is no tracked object with that id, so insert a new one
TrackedObjectBBox trackedObj;
trackedObj.AddBox(id, x+(w/2), y+(h/2), w, h, 0.0);
std::shared_ptr<TrackedObjectBBox> trackedObjPtr = std::make_shared<TrackedObjectBBox>(trackedObj);
trackedObjects.insert({objectId, trackedObjPtr});
}
// Create OpenCV rectangle with the bouding box info
cv::Rect_<float> box(x, y, w, h);
// Push back data into vectors
boxes.push_back(box);
classIds.push_back(classId);
confidences.push_back(confidence);
objectIds.push_back(objectId);
}
// Assign data to object detector map
detectionsData[id] = DetectionData(classIds, confidences, boxes, id, objectIds);
}
// Delete all global objects allocated by libprotobuf.
google::protobuf::ShutdownProtobufLibrary();
return true;
}
// Get tracker info for the desired frame
DetectionData ObjectDetection::GetTrackedData(size_t frameId){
// Check if the tracker info for the requested frame exists
if ( detectionsData.find(frameId) == detectionsData.end() ) {
return DetectionData();
} else {
return detectionsData[frameId];
}
}
// Get the indexes and IDs of all visible objects in the given frame
std::string ObjectDetection::GetVisibleObjects(int64_t frame_number) const{
// Initialize the JSON objects
Json::Value root;
root["visible_objects_index"] = Json::Value(Json::arrayValue);
root["visible_objects_id"] = Json::Value(Json::arrayValue);
// Iterate through the tracked objects
for (const auto& trackedObject : trackedObjects){
// Get the tracked object JSON properties for this frame
Json::Value trackedObjectJSON = trackedObject.second->PropertiesJSON(frame_number);
if (trackedObjectJSON["visible"]["value"].asBool()){
// Save the object's index and ID if it's visible in this frame
root["visible_objects_index"].append(trackedObject.first);
root["visible_objects_id"].append(trackedObject.second->Id());
}
}
return root.toStyledString();
}
// Generate JSON string of this object
std::string ObjectDetection::Json() const {
// Return formatted string
return JsonValue().toStyledString();
}
// Generate Json::Value for this object
Json::Value ObjectDetection::JsonValue() const {
// Create root json object
Json::Value root = EffectBase::JsonValue(); // get parent properties
root["type"] = info.class_name;
root["protobuf_data_path"] = protobuf_data_path;
root["selected_object_index"] = selectedObjectIndex;
root["objects_id"] = Json::Value(Json::arrayValue);
for (auto const& trackedObject : trackedObjects){
Json::Value trackedObjectJSON = trackedObject.second->JsonValue();
root["objects_id"].append(trackedObject.second->Id());
}
// Add the selected object Json to root
auto selectedObject = trackedObjects.at(selectedObjectIndex);
if (selectedObject){
Json::Value selectedObjectJSON = selectedObject->JsonValue();
root["delta_x"] = selectedObjectJSON["delta_x"];
root["delta_y"] = selectedObjectJSON["delta_y"];
root["scale_x"] = selectedObjectJSON["scale_x"];
root["scale_y"] = selectedObjectJSON["scale_y"];
root["rotation"] = selectedObjectJSON["rotation"];
}
// return JsonValue
return root;
}
// Load JSON string into this object
void ObjectDetection::SetJson(const std::string value) {
// Parse JSON string into JSON objects
try
{
const Json::Value root = openshot::stringToJson(value);
// Set all values that match
SetJsonValue(root);
}
catch (const std::exception& e)
{
// Error parsing JSON (or missing keys)
throw InvalidJSON("JSON is invalid (missing keys or invalid data types)");
}
}
// Load Json::Value into this object
void ObjectDetection::SetJsonValue(const Json::Value root) {
// Set parent data
EffectBase::SetJsonValue(root);
// Set data from Json (if key is found)
if (!root["protobuf_data_path"].isNull()){
protobuf_data_path = (root["protobuf_data_path"].asString());
if(!LoadObjDetectdData(protobuf_data_path)){
std::cout<<"Invalid protobuf data path";
protobuf_data_path = "";
}
}
// Set the selected object index
if (!root["selected_object_index"].isNull())
selectedObjectIndex = root["selected_object_index"].asInt();
// Set the object's ids
if (!root["objects_id"].isNull()){
for (auto const& trackedObject : trackedObjects){
Json::Value trackedObjectJSON;
trackedObjectJSON["box_id"] = root["objects_id"][trackedObject.first].asString();
trackedObject.second->SetJsonValue(trackedObjectJSON);
}
}
// Set the selected object's properties
Json::Value selectedObjectJSON;
selectedObjectJSON["delta_x"] = root["delta_x"];
selectedObjectJSON["delta_y"] = root["delta_y"];
selectedObjectJSON["scale_x"] = root["scale_x"];
selectedObjectJSON["scale_y"] = root["scale_y"];
selectedObjectJSON["rotation"] = root["rotation"];
if (!selectedObjectJSON.isNull()){
auto selectedObject = trackedObjects.at(selectedObjectIndex);
if (selectedObject)
selectedObject->SetJsonValue(selectedObjectJSON);
}
}
// Get all properties for a specific frame
std::string ObjectDetection::PropertiesJSON(int64_t requested_frame) const {
// Generate JSON properties list
Json::Value root;
// Add the selected object Json to root
auto selectedObject = trackedObjects.at(selectedObjectIndex);
if (selectedObject){
Json::Value selectedObjectJSON = selectedObject->PropertiesJSON(requested_frame);
root["box_id"] = selectedObjectJSON["box_id"];
root["visible"] = selectedObjectJSON["visible"];
root["x1"] = selectedObjectJSON["x1"];
root["y1"] = selectedObjectJSON["y1"];
root["x2"] = selectedObjectJSON["x2"];
root["y2"] = selectedObjectJSON["y2"];
root["delta_x"] = selectedObjectJSON["delta_x"];
root["delta_y"] = selectedObjectJSON["delta_y"];
root["scale_x"] = selectedObjectJSON["scale_x"];
root["scale_y"] = selectedObjectJSON["scale_y"];
root["rotation"] = selectedObjectJSON["rotation"];
}
root["selected_object_index"] = add_property_json("Selected Object", selectedObjectIndex, "int", "", NULL, 0, 200, false, requested_frame);
root["id"] = add_property_json("ID", 0.0, "string", Id(), NULL, -1, -1, true, requested_frame);
root["position"] = add_property_json("Position", Position(), "float", "", NULL, 0, 1000 * 60 * 30, false, requested_frame);
root["layer"] = add_property_json("Track", Layer(), "int", "", NULL, 0, 20, false, requested_frame);
root["start"] = add_property_json("Start", Start(), "float", "", NULL, 0, 1000 * 60 * 30, false, requested_frame);
root["end"] = add_property_json("End", End(), "float", "", NULL, 0, 1000 * 60 * 30, false, requested_frame);
root["duration"] = add_property_json("Duration", Duration(), "float", "", NULL, 0, 1000 * 60 * 30, true, requested_frame);
// Return formatted string
return root.toStyledString();
}