if __name__ == '__main__':
counter_n = 0
m = PyMouse()
redeclipse_center = [960, 564]
offline_position = [1157, 1157, 523, 523]
gametab_position = [593, 593, 132, 132]
select_position = [564, 564, 248, 248]
disconnect_position = [1184, 1184, 703, 703]
output_keysList = []
n_input, tensor_size, lstm_classes, n_hidden, lstm_based_Bots, cnn_classes = cgrAPI.gameBotParamInit(
1, 20, 5, 512, 0, 1)
associate_flag, RUNNING_TIME, AI_BOTS_DIR, RESULT_DIR, BIND_CPU, HUMAN_RUN, Reso_Width, Reso_Hight, MultipleMode = cgrAPI.globalParamInit(
)
lstmX, lstmPred, lstmInit, lstmSaver, lstmLogPath = cgrAPI.LSTMInit(
"redeclipse", AI_BOTS_DIR, n_input, tensor_size, lstm_classes,
n_hidden)
pic_region, cnnDetection_graph, cnnDetector = cgrAPI.CNNInit(
"redeclipse", AI_BOTS_DIR, Reso_Width, Reso_Hight, cnn_classes)
output_file = cgrAPI.logsInit(RESULT_DIR)
cgrAPI.commandInit("redeclipse", associate_flag, RUNNING_TIME, BIND_CPU,
HUMAN_RUN, MultipleMode, 5)
with mss.mss(display=':0.0') as sct:
with tf.Session() as lstmSession:
lstmSession.run(lstmInit)
if os.path.isfile(lstmLogPath + "checkpoint"):
lstmSaver.restore(lstmSession, lstmLogPath + "lstm-model")
with tf.Session(graph=cnnDetection_graph) as cnnSession:
start_time = time.time()
cur_time = time.time()
angle += calculate_angle(points)
angle = angle / len(brickLongEdgePoint)
lstmInputVec = [last_angle, angle]
return lstmInputVec, img_birdeye
if __name__ == '__main__':
count = 0
supertuxkart_restart = [985, 985, 1030, 1030]
lstmInputVec = [0, 0]
n_input, tensor_size, lstm_classes, n_hidden, lstm_based_Bots, cnn_classes = cgrAPI.gameBotParamInit(
1, 2, 3, 512, 1, 2)
associate_flag, RUNNING_TIME, AI_BOTS_DIR, RESULT_DIR, BIND_CPU, HUMAN_RUN, Reso_Width, Reso_Hight, MultipleMode = cgrAPI.globalParamInit(
)
lstmX, lstmPred, lstmInit, lstmSaver, lstmLogPath = cgrAPI.LSTMInit(
"supertuxkart", AI_BOTS_DIR, n_input, tensor_size, lstm_classes,
n_hidden)
pic_region, cnnDetection_graph, cnnDetector = cgrAPI.CNNInit(
"supertuxkart", AI_BOTS_DIR, Reso_Width, Reso_Hight, cnn_classes)
output_file = cgrAPI.logsInit(RESULT_DIR)
cgrAPI.commandInit("supertuxkart", associate_flag, RUNNING_TIME, BIND_CPU,
HUMAN_RUN, MultipleMode, 3)
with mss.mss(display=':0.0') as sct:
with tf.Session() as lstmSession:
lstmSession.run(lstmInit)
if os.path.isfile(lstmLogPath + "checkpoint"):
lstmSaver.restore(lstmSession, lstmLogPath + "lstm-model")
with tf.Session(graph=cnnDetection_graph) as cnnSession:
start_time = time.time()